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*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Post Graduate Program In Data Engineering: 🤍 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): 🤍 This Apache Spark full course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. Then, you will understand how to install Apache Spark on Windows and Ubuntu. You will look at the important components of Spark, such as Spark Streaming, Spark MLlib, and Spark SQL. Finally, you will get an idea about implement Spark with Python in PySpark tutorial and look at some of the important Apache Spark interview questions. Below topics are explained in this Apache Spark Full Course: 00:00:00 What is Apache Spark 00:39:07 Spark Installation on windows 01:09:58 Spark Installation on ubuntu 01:26:46 Apache Spark Architecture 01:48:34 Spark case study 02:24:11 Spark Streaming 03:22:27 Spark SQL 04:12:15 Spark MLlib 05:27:02 Understanding PySpark 06:25:53 Apache Spark Interview Questions To learn more about Spark, subscribe to our YouTube channel: 🤍 Watch more videos on Spark Training: 🤍 #ApcheSparkFullCourse #ApcheSparkTutorial #SparkTutorialForBeginners #Learn ApacheSpark #LearnApacheSparkIn7Hours #SparkArchitecture #ApacheSpark #ApacheSparkTutorial #WhatIsApacheSpark #SimplilearnApacheSpark #Simplilearn 🔥Free Big Data Hadoop & Spark Developer Course: 🤍 ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features Post Graduate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real-Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Post Graduate Program In Data Engineering: 🤍 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): 🤍 This Apache Spark full course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. Then, you will understand how to install Apache Spark on Windows and Ubuntu. You will look at the important components of Spark, such as Spark Streaming, Spark MLlib, and Spark SQL. Finally, you will get an idea about implementing Spark with Python in the PySpark tutorial and look at some of the important Apache Spark interview questions. The below topics are explained in this Apache Spark Full Course: What is Apache Spark Spark Installation on windows Spark Installation on Ubuntu Apache Spark Architecture Spark case study Spark Streaming Spark SQL Spark MLlib Understanding PySpark Apache Spark Interview Questions To learn more about Spark, subscribe to our YouTube channel: 🤍 Watch more videos on Spark Training: 🤍 #ApcheSparkFullCourse #ApcheSparkTutorial #SparkTutorialForBeginners #Learn ApacheSpark #LearnApacheSparkIn7Hours #SparkArchitecture #ApacheSpark #ApacheSparkTutorial #WhatIsApacheSpark #SimplilearnApacheSpark #Simplilearn ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features Post Graduate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real-Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): 🤍 This Edureka Spark Full Course video will help you understand and learn Apache Spark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master Apache Spark concepts. 00:00:00 Introduction 00:00:52 Agenda 00:02:28 What is Apache Spark? 00:08:45 Apache Spark Architecture 00:21:42 How to Become a Spark Developer? 00:31:41 What is Scala? 00:34:25 Features of Scala 00:36:43 Data Types in Scala 00:38:01 Variables in Scala 01:05:54 What is RDD in Spark? 01:09:45 Features of RDD 01:11:29 Creation of RDDs 01:15:13 Operation in RDDs 01:30:13 Spark DataFrame 01:35:03 Creation of DataFrames 01:47:58 Spark SQL 01:57:48 Features of Spark SQL 02:00:02 Spark SQL Architecture 02:06:24 Starting up Spark Shell 02:21:08 Use Cases 02:39:48 Spark Streaming 02:47:29 Spark Streaming Overview 03:20:24 Use Cases 03:26:33 What is ML 03:35:37 Phases of ML 03:47:03 Different Types of ML 03:47:23 Supervised Learning 03:55:55 Reinforcement Learning 03:58:14 Reinforcement Learning - UseCase 04:00:19 Unsupervised Learning 04:09:41 Spark ML Library - Mlib 04:18:32 Typical Steps in ML Pipeline 04:21:03 Types of Graph 04:49:34 Graph Builder 04:55:34 Vertex & Edge RDD 05:27:47 Graph Algorithm 05:51:13 Spark GraphX Demo 05:21:20 Spark Java 06:06:55 Hadoop MapReduce Vs Spark 06:19:56 Apache kafka with spark streaming 06:30:36 Demo 06:43:22 Kafka Spark streaming Demo 07:09:35 Kafka Spark Streaming Project 07:13:24 Spark Use Cases 07:25:24 PySpark Installation 07:36:53 Spark Interview Question & Answers 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: 🤍 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: 🤍 🌕 AWS Online Training: 🤍 🔵 React Online Training: 🤍 🌕 Tableau Online Training: 🤍 🔵 Power BI Online Training: 🤍 🌕 Selenium Online Training: 🤍 🔵 PMP Online Training: 🤍 🌕 Salesforce Online Training: 🤍 🔵 Cybersecurity Online Training: 🤍 🌕 Java Online Training: 🤍 🔵 Big Data Online Training: 🤍 🌕 RPA Online Training: 🤍 🔵 Python Online Training: 🤍 🌕 Azure Online Training: 🤍 🔵 GCP Online Training: 🤍 🌕 Microservices Online Training: 🤍 🔵 Data Science Online Training: 🤍 🌕 CEHv12 Online Training: 🤍 🔵 Angular Online Training: 🤍 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: 🤍 🌕 Cloud Architect Masters Program: 🤍 🔵 Data Scientist Masters Program: 🤍 🌕 Big Data Architect Masters Program: 🤍 🔵 Machine Learning Engineer Masters Program: 🤍 🌕 Business Intelligence Masters Program: 🤍 🔵 Python Developer Masters Program: 🤍 🌕 RPA Developer Masters Program: 🤍 🔵 Web Development Masters Program: 🤍 🌕 Computer Science Bootcamp Program : 🤍 🔵 Cyber Security Masters Program: 🤍 🌕 Full Stack Developer Masters Program : 🤍 🔵 Automation Testing Engineer Masters Program : 🤍 🌕 Python Developer Masters Program : 🤍 🔵 Azure Cloud Engineer Masters Program: 🤍 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🌕 Professional Certificate Program in DevOps with Purdue University: 🤍 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: 🤍 🌕 Artificial and Machine Learning PGD with E&ICT Academy NIT Warangal: 🤍 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2023 - 🤍 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: 🤍 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: 🤍 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: 🤍 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: 🤍 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: 🤍 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: 🤍 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: 🤍 📌𝐌𝐞𝐞𝐭𝐮𝐩: 🤍 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: 🤍 Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at sales🤍edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
🔥1000+ Free Courses With Free Certificates: 🤍 🔥Accelerate your Software Development career with E&ICT IIT Roorkee: 🤍 In this 'Spark Tutorial' you will comprehensively learn all the major concepts of Spark such as Spark RDD, Dataframes, Spark SQL and Spark Streaming. With the increasing size of data that generates every second, it is important to analyze this data to get important business insights in lesser time. This is where Apache Spark comes in to process real-time big data. So, keeping the importance of Spark in mind, we have come up with this full course. 🏁 Topics Covered: This 'Apache Spark Full Course' will comprise of the following topics: 00:00:00- Introduction 00:01:23 - Spark Fundamentals 00:24:00 - Spark and it's Ecosystem 00:51:22 - Spark vs Hadoop 01:08:56 - RDD Fundamentals 01:29:22 - Spark Transformations, Actions and Operations 02:36:54 - Job, Stages and Task 03:10:17 - RDD Creation 03:49:15 - Spark SQL 04:12:38 - Spark Dataframe basics 05:05:30 - Reading files of different formats 05:46:01 - Spark SQL Hive Integration 06:04:58 - Sqoop on Spark 07:08:07 - Twitter Streaming through Flume 🔥Check Our Free Courses with free certificate: 📌 Spark Basics course: 🤍 📌Spark Twitter Streaming: 🤍 📌Data Analysis using PySpark: 🤍 ⚡ About Great Learning Academy: Visit Great Learning Academy to get access to 1000+ free courses with free certificate on Data Science, Data Analytics, Digital Marketing, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development, and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. ⚡ About Great Learning: With more than 5.4 Million+ learners in 170+ countries, Great Learning, a part of the BYJU'S group, is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data and business domains. These programs are developed in collaboration with the top institutions like Stanford Executive Education, MIT Professional Education, The University of Texas at Austin, NUS, IIT Madras, IIT Bombay & more. SOCIAL MEDIA LINKS: 🔹 For more interesting tutorials, don't forget to subscribe to our channel: 🤍 🔹 For more updates on courses and tips follow us on: ✅ Telegram: 🤍 ✅ Facebook: 🤍 ✅ LinkedIn: 🤍 ✅ Follow our Blog: 🤍 #apachespark #hadooptutorial
*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Post Graduate Program In Data Engineering: 🤍 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): 🤍 This Simplilearn video on Apache Spark Full Course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. Here you will learn Spark in 7 hours. You will look at Spark installation, Spark Streaming, Spark MLlib, Spark SQL, and PySpark. Finally, you will also go through the top Apache Spark interview questions. Now, let's get started with this Apache Spark tutorial for beginners! Below topics are explained in this Apache Spark Full Course: 1. Introduction 00:00 2. History of Spark 06:48 3. What is Spark 07:28 4. Hadoop vs spark 08:32 5. Components of Apache Spark 14:14 6. Spark Architecture 33:26 7. Applications of Spark 40:05 8. Spark Use Case 42:08 9. Running a Spark Application 44:08 10. Apache Spark installation on Windows 01:01:03 11. Apache Spark installation on Ubuntu 01:31:54 12. What is Spark Streaming 01:49:31 13. Spark Streaming data sources 01:50:39 14. Features of Spark Streaming 01:52:19 15. Working of Spark Streaming 01:52:53 16. Discretized Streams 01:54:03 17. caching/persistence 02:02:17 18. checkpointing in spark streaming 02:04:34 19. Demo on Spark Streaming 02:18:27 20. What is Spark MLlib 02:47:29 21. What is Machine Learning 02:49:14 22. Machine Learning Algorithms 02:51:38 23. Spark MLlib Tools 02:53:01 24. Spark MLlib Data Types 02:56:42 25. Machine Learning Pipelines 03:09:05 26. Spark MLlib Demo 03:18:38 27. What is Spark SQL 04:01:40 28. Spark SQL Features 04:03:52 29. Spark SQL Architecture 04:07:43 30. Spark SQL Data Frame 04:09:59 31. Spark SQL Data Source 04:11:55 32. Spark SQL Demo 04:23:00 33. What is PySpark 04:52:03 34. PySpark Features 04:58:02 35. PySpark with Python and Scala 04:58:54 36. PySpark Contents 05:00:35 37. PySpark Subpackages 05:40:10 38. Companies using PySpark 05:41:16 39. PySpark Demo 05:41:49 40. Spark Interview Questions 05:50:43 To learn more about Spark, subscribe to our YouTube channel: 🤍 Watch more videos on Spark Training: 🤍 #ApcheSparkFullCourse #ApcheSparkTutorial #SparkTutorialForBeginners #Learn ApacheSpark #LearnApacheSparkIn7Hours #SparkArchitecture #ApacheSpark #ApacheSparkTutorial #WhatIsApacheSpark #SimplilearnApacheSpark #Simplilearn 🔥Free Big Data Hadoop & Spark Developer Course: 🤍 ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features Post Graduate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real-Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
Join My Data Engineer Courses Here: 🤍 What is Apache Spark and How To Learn? This video will discuss Apache Spark, its popularity, basic architecture, and everything around it. 📷 Instagram - 🤍 🎯Twitter - 🤍 👦🏻 My Linkedin - 🤍 🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟 3 Books You Should Read 📈Principles: Life and Work: 🤍 👀Deep Work: 🤍 💼Rework: 🤍 Tech I use every day 💻MacBook Pro M1: 🤍 📺LG 22 Inch Monitor: 🤍 🎥Sony ZV1: 🤍 🎙Maono AU-A04: 🤍 ⽴Tripod Stand: 🤍 🔅Osaka Ring Light and Stand: 🤍 🎧Sony WH-1000XM4 Headphone: 🤍 🖱Zebronics Zeb-War Keyboard and Mouse: 🤍 💺CELLBELL C104 Office Chair: 🤍 👉Data Engineering Complete Roadmap: 🤍 👉Data Engineering Project Series: 🤍 👉Become Full-Time Freelancer: 🤍 👉Data With Darshil Podcast: 🤍 ✨ Tags ✨ ✨ Hashtags ✨
Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning. 💻 Code: 🤍 ✏️ Course from Krish Naik. Check out his channel: 🤍 ⌨️ (0:00:10) Pyspark Introduction ⌨️ (0:15:25) Pyspark Dataframe Part 1 ⌨️ (0:31:35) Pyspark Handling Missing Values ⌨️ (0:45:19) Pyspark Dataframe Part 2 ⌨️ (0:52:44) Pyspark Groupby And Aggregate Functions ⌨️ (1:02:58) Pyspark Mlib And Installation And Implementation ⌨️ (1:12:46) Introduction To Databricks ⌨️ (1:24:65) Implementing Linear Regression using Databricks in Single Clusters 🎉 Thanks to our Champion and Sponsor supporters: 👾 Wong Voon jinq 👾 hexploitation 👾 Katia Moran 👾 BlckPhantom 👾 Nick Raker 👾 Otis Morgan 👾 DeezMaster 👾 Treehouse Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍
Edureka Apache Spark Training (Use Code: YOUTUBE20) - 🤍 ) This Edureka Spark Full Course video will help you understand and learn Apache Spark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master Apache Spark concepts. Below are the topics covered in this Spark tutorial for beginners: 00:00 Agenda 2:44 Introduction to Apache Spark 3:49 What is Spark? 5:34 Spark Eco-System 7:44 Why RDD? 16:44 RDD Operations 18:59 Yahoo Use-Case 21:09 Apache Spark Architecture 24:24 RDD 26:59 Spark Architecture 31:09 Demo 39:54 Spark RDD 41:09 Spark Applications 41:59 Need For RDDs 43:34 What are RDDs? 44:24 Sources of RDDs 45:04 Features of RDDs 46:39 Creation of RDDs 50:19 Operations Performed On RDDs 50:49 Narrow Transformations 51:04 Wide Transformations 51:29 Actions 51:44 RDDs Using Spark Pokemon Use-Case 1:05:19 Spark DataFrame 1:06:54 What is a DataFrame? 1:08:24 Why Do We Need Dataframes? 1:09:54 Features of DataFrames 1:11:09 Sources Of DataFrames 1:11:34 Creation Of DataFrame 1:24:44 Spark SQL 1:25:14 Why Spark SQL? 1:27:09 Spark SQL Advantages Over Hive 1:31:54 Spark SQL Success Story 1:33:24 Spark SQL Features 1:37:15 Spark SQL Architecture 1:39:40 Spark SQL Libraries 1:42:15 Querying Using Spark SQL 1:45:50 Adding Schema To RDDs 1:55:05 Hive Tables 1:57:50 Use Case: Stock Market Analysis with Spark SQL 2:16:50 Spark Streaming 2:18:10 What is Streaming? 2:25:46 Spark Streaming Overview 2:27:56 Spark Streaming workflow 2:31:21 Streaming Fundamentals 2:33:36 DStream 2:38:56 Input DStreams 2:40:11 Transformations on DStreams 2:43:06 DStreams Window 2:47:11 Caching/Persistence 2:48:11 Accumulators 2:49:06 Broadcast Variables 2:49:56 Checkpoints 2:51:11 Use-Case Twitter Sentiment Analysis 3:00:26 Spark MLlib 3:00:31 MLlib Techniques 3:01:46 Demo 3:11:51 Use Case: Earthquake Detection Using Spark 3:24:01 Visualizing Result 3:25:11 Spark GraphX 3:26:01 Basics of Graph 3:27:56 Types of Graph 3:38:56 GraphX 3:40:42 Property Graph 3:48:37 Creating & Transforming Property Graph 3:56:17 Graph Builder 4:02:22 Vertex RDD 4:07:07 Edge RDD 4:11:37 Graph Operators 4:24:37 GraphX Demo 4:34:24 Graph Algorithms 4:34:40 PageRank 4:38:29 Connected Components 4:40:39 Triangle Counting 4:44:09 Spark GraphX Demo 4;57:54 MapReduce vs Spark 5:13:03 Kafka with Spark Streaming 5:23:38 Messaging System 5:21:15 Kafka Components 2:23:45 Kafka Cluster 5:24:15 Demo 5:48:56 Kafka Spark Streaming Demo 6:17:16 PySpark Tutorial 6:21:26 PySpark Installation 6:47:06 Spark Interview Questions PG in Big Data Engineering with NIT Rourkela : 🤍 (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) Instagram: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For more information, please write back to us at sales🤍edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : 🤍 This Edureka PySpark Full Course video will help you understand and learn PySpark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master PySpark concepts. 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: 🤍 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: 🤍 🌕 AWS Online Training: 🤍 🔵 React Online Training: 🤍 🌕 Tableau Online Training: 🤍 🔵 Power BI Online Training: 🤍 🌕 Selenium Online Training: 🤍 🔵 PMP Online Training: 🤍 🌕 Salesforce Online Training: 🤍 🔵 Cybersecurity Online Training: 🤍 🌕 Java Online Training: 🤍 🔵 Big Data Online Training: 🤍 🌕 RPA Online Training: 🤍 🔵 Python Online Training: 🤍 🌕 Azure Online Training: 🤍 🔵 GCP Online Training: 🤍 🌕 Microservices Online Training: 🤍 🔵 Data Science Online Training: 🤍 🌕 CEHv12 Online Training: 🤍 🔵 Angular Online Training: 🤍 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: 🤍 🌕 Cloud Architect Masters Program: 🤍 🔵 Data Scientist Masters Program: 🤍 🌕 Big Data Architect Masters Program: 🤍 🔵 Machine Learning Engineer Masters Program: 🤍 🌕 Business Intelligence Masters Program: 🤍 🔵 Python Developer Masters Program: 🤍 🌕 RPA Developer Masters Program: 🤍 🔵 Web Development Masters Program: 🤍 🌕 Computer Science Bootcamp Program : 🤍 🔵 Cyber Security Masters Program: 🤍 🌕 Full Stack Developer Masters Program : 🤍 🔵 Automation Testing Engineer Masters Program : 🤍 🌕 Python Developer Masters Program : 🤍 🔵 Azure Cloud Engineer Masters Program: 🤍 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🌕 Professional Certificate Program in DevOps with Purdue University: 🤍 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: 🤍 🌕 Artificial and Machine Learning PGD with E&ICT Academy NIT Warangal: 🤍 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2023 - 🤍 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: 🤍 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: 🤍 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: 🤍 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: 🤍 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: 🤍 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: 🤍 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: 🤍 📌𝐌𝐞𝐞𝐭𝐮𝐩: 🤍 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: 🤍 Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at sales🤍edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Post Graduate Program In Data Engineering: 🤍 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): 🤍 This video on What Is Apache Spark? covers all the basics of Apache Spark that a beginner needs to know. In this introduction to Apache Spark video, we will discuss what is Apache Spark, the history of Spark, Hadoop vs Spark, Spark features, components of Apache Spark, Spark core, Spark SQL, Spark streaming, applications of Spark, etc. Below topics are explained in this Apache Spark Tutorial: 00.00 Introduction 00:41 History of Spark 01:22 What is Spark? 02:26 Hadoop vs Spark 05:29 Spark Features 08:27 Components of Apache Spark 10:24 Spark Core 11:28 Resilient Distributed Dataset 18:08 Spark SQL 21:28 Spark Streaming 24:57 Spark MLlib 25:54 GraphX 27:20 Spark architecture 32:16 Spark Cluster Managers 33:59 Applications of Spark 36:01 Spark use case 38:02 Conclusion To learn more about Spark, subscribe to our YouTube channel: 🤍 To access the slides, click here: 🤍 Watch more videos on Spark Training: 🤍 #WhatIsApacheSpark #ApacheSpark #ApacheSparkTutorial #SparkTutorialForBeginners #SimplilearnApacheSpark #SparkTutorial #Simplilearn Introduction to Apache Spark: Apache Spark Is an open-source cluster computing framework that was initially developed at UC Berkeley in the AMPLab. As compared to the disk-based, two-stage MapReduce of Hadoop, Spark provides up to 100 times faster performance for a few applications with in-memory primitives. This makes it suitable for machine learning algorithms, as it allows programs to load data into the memory of a cluster and query the data constantly. A Spark project contains various components such as Spark Core and Resilient Distributed Datasets or RDDs, Spark SQL, Spark Streaming, Machine Learning Library or Mllib, and GraphX. 🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: 🤍 ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features Post Graduate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real-Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
🔵 Intellipaat Apache Spark Scala Course:- 🤍 In this Apache Spark tutorial video, you will learn what is apache-spark, Hadoop ecosystem tools, Spark components, Spark architecture terminology, what is Scala, and why scala, dynamic type interface, block Expression, laziness in Scala, IDE, Scaler program, what are data frames in Spark? , business problem-solving using Spark. This is a must-watch session for everyone who wishes to learn spark scala and make a career in it. #ApacheSparkTutorial #SparkTutorialForBeginners #SparkScalaFullCourse #SparkTraining #ApachesparkCourse #Intellipaat 00:00 - Apache Spark Tutorial 00:26 - Agenda 01:17 - Spark Framework 06:57 - Why should I use SPARK ? 36:20 - Spark Components 40:30 - Spark Architecture 01:19:04 - The Scala Programing Language 01:20:00 - Demo 03:18:58 - What are Dataframes in Spark? 03:21:01 - Dataframe Tutorial 03:36:28 - How to query Data Files? 03:59:15 - Business problem solving using Spark 04:15:20 - Cloud X LAB 05:00:42 - sbt Download 🔵 To subscribe to the Intellipaat channel & get regular updates on videos: 🤍 🔵 Watch Apache Spark video tutorials here: 🤍 🔵 Read the complete Apache Spark tutorial here: 🤍 🔵 Get Apache Spark& RDD's cheat sheet here: 🤍 🔵 Interested to learn Apache Spark still more? Please check similar Spark blogs here:- 🤍 Are you looking for something more? Enroll in our Spark course & certification and become a certified Spark Professional (🤍 It is a 24 hrs instructor-led Spark training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this Apache Spark Tutorial, Like us and Subscribe to our channel for more similar informative Spark tutorials. Got any questions about apache spark? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Lifetime Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Courseware 6. Lifetime free Course Upgrade Why should you watch this Spark tutorial for beginners? Apache Spark is an open-source computing framework up to 100 times faster than MapReduce and Spark is an alternative form of data processing unique in batch processing and streaming. Learning Spark will help you master all the skills needed to increase application performance and enable high-speed processing using Spark RDDs as well as help in customization of Spark using Scala. We are offering the top Spark tutorial that can be watched by anybody to learn Spark. Our Spark tutorial has been created with extensive inputs from the industry so that you can learn Spark easily. Why Spark is important? Today there is widespread deployment of Big Data. With each passing day the requirements of enterprises increases and therefore there is a need for a faster and more efficient form of processing data. Most of the data is in unstructured format and it is coming in thick and fast as streaming data. The Intellipaat Spark beginners tutorial is easy to understand, has real-world Spark examples, and thus makes you understand why Spark is so important and why you should go for a Spark career. Why should you opt for a Spark career? Apache Spark is seeing widespread demand with enterprises finding it increasingly difficult to hire the right professionals to take on increasingly challenging roles in real-world scenarios. It is a fact that today the Apache Spark community is one of the fastest Big Data communities with over 750 contributors from over 200 companies worldwide. The entire Intellipaat Spark course is in line with the industry's needs. Also, it is a fact that Apache Spark developers are among the highest-paid programmers when it comes to programming for the Hadoop framework as compared to ten other Hadoop development tools. Hence this Intellipaat apache spark tutorial is your stepping stone to a successful career! For more information: Call Our Course Advisors IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free) Website: 🤍 Facebook: 🤍 Telegram: 🤍 Instagram: 🤍 LinkedIn: 🤍 Twitter: 🤍 Meetup: 🤍
Learn more about Apache Spark → 🤍 Check out IBM Analytics Engine → 🤍 Unboxing the IBM POWER E1080 Server → 🤍 Do you have a big data problem? Too much data to process or queries that are too costly to run in a reasonable amount of time? Spare your wallet and stress levels! David Adeyemi introduces Apache Spark. It may save you a hardware upgrade or testing your patience waiting for a SQL query to finish. Get started for free on IBM Cloud → 🤍 Subscribe to see more videos like this in the future → 🤍
Analysing big data stored on a cluster is not easy. Spark allows you to do so much more than just MapReduce. Rebecca Tickle takes us through some code. 🤍 🤍 This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: 🤍 Computerphile is a sister project to Brady Haran's Numberphile. More at 🤍
🔵 Intellipaat Apache Spark Scala Course:- 🤍 In this Spark Scala video, you will learn what is apache-spark, Hadoop echo system tools, Spark components, Spark architecture terminology, Spark architecture, What is scala, Installation of scala Dynamic type Inference, types of variables in scala, what is static class, Static class Hands-On. All the concepts are explained with the complete hands-on demo so that you can understand the concepts well. #SparkScala #SparkTutorial #ScalaTutorial #SparkScalaFullCourse #SparkTraining #Intellipaat 🔵 To subscribe to the Intellipaat channel & get regular updates on videos: 🤍 🔵 Watch Apache Spark video tutorials here: 🤍 🔵 Read the complete Apache Spark tutorial here: 🤍 🔵 Get Apache Spark& RDD's cheat sheet here: 🤍 🔵 Interested to learn Apache Spark still more? Please check similar Spark blogs here:- 🤍 Are you looking for something more? Enroll in our Spark course & certification and become a certified Spark Professional (🤍 It is a 24 hrs instructor-led Spark training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this Spark Tutorial, Like us and Subscribe to our channel for more similar informative Spark tutorials. Got any questions about apache spark? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Lifetime Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Courseware 6. Lifetime free Course Upgrade Why should you watch this Spark tutorial for beginners? Apache Spark is an open-source computing framework up to 100 times faster than MapReduce and Spark is an alternative form of data processing unique in batch processing and streaming. Learning Spark will help you master all the skills needed to increase application performance and enable high-speed processing using Spark RDDs as well as help in customization of Spark using Scala. We are offering the top Spark tutorial that can be watched by anybody to learn Spark. Our Spark tutorial has been created with extensive inputs from the industry so that you can learn Spark easily. Why Spark is important? Today there is widespread deployment of Big Data. With each passing day the requirements of enterprises increases and therefore there is a need for a faster and more efficient form of processing data. Most of the data is in unstructured format and it is coming in thick and fast as streaming data. The Intellipaat Spark beginners tutorial is easy to understand, has real-world Spark examples, and thus makes you understand why Spark is so important and why you should go for a Spark career. Why should you opt for a Spark career? Apache Spark is seeing widespread demand with enterprises finding it increasingly difficult to hire the right professionals to take on increasingly challenging roles in real-world scenarios. It is a fact that today the Apache Spark community is one of the fastest Big Data communities with over 750 contributors from over 200 companies worldwide. The entire Intellipaat Spark course is in line with the industry needs. Also, it is a fact that Apache Spark developers are among the highest-paid programmers when it comes to programming for the Hadoop framework as compared to ten other Hadoop development tools. Hence this Intellipaat apache spark tutorial is your stepping stone to a successful career! For more information: Call Our Course Advisors IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free) Website: 🤍 Facebook: 🤍 Telegram: 🤍 Instagram: 🤍 LinkedIn: 🤍 Twitter: 🤍 Meetup: 🤍
Learn more about Apache Spark→ 🤍 Get started for free on IBM Cloud → 🤍 Subscribe to see more videos like this in the future → 🤍
🔥Intellipaat Apache Spark Scala Course:- 🤍 In this apache spark tutorial for beginners video, you will learn what is big data, what is apache spark, apache spark architecture, spark rdd's, various spark components and demo on spark components like data frames and mllib, what is json in spark, need of kafka and spark streaming in detail. All the concepts are explained with complete hands on demo so that you can understand the concepts well. #ApacheSparkTutorial #SparkTutorialForBeginners #LearnSpark #ApacheSpark #SparkBigData #WhatisSpark #SparkCertification 📌 Do subscribe to Intellipaat channel & get regular updates on videos: 🤍 🔗 Watch Apache Spark video tutorials here: 🤍 📕 Read complete Apache Spark tutorial here: 🤍 📔 Get Apache Spark& RDD's cheat sheet here: 🤍 📰 Interested to learn Apache Spark still more? Please check similar Spark blogs here:- 🤍 This apache spark for beginners video helps you to learn following topics: 00:00 - apache spark tutorial 01:07 - what is big data 03:22 - issues with big data 04:26 - hadoop vs spark 05:40 - what is apache spark 05:58 - features of apache spark 06:47 - industry usage of spark 12:12 - what are spark Rdds 13:15 - how to create rdds (demo) 23:45 - spark components 25:27 - spark sql 29:10 - how to create dataframe in spark 33:20 - spark mllib 38:40 - spark & scala with json 01:06:32 - how to deal with xml data 01:27:33 - spark sql with hive 01:46:15 - performance tuning 02:02:40 - what is the need of kafka 02:10:35 - what is kafka 02:21:10 - architecture of kafka cluster 02:38:05 - apache zookeeper 02:47:09 - how to configure single node single broker cluster 03:20:55 - what is batch processing 03:21:36 - what is stream processing 05:19:32 - apache flume Are you looking for something more? Enroll in our Spark course & certification and become a certified Spark Professional (🤍 It is a 24 hrs instructor led Spark training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this apache spark tutorial, Like us and Subscribe to our channel for more similar informative Spark tutorials. Got any questions about apache spark? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Course ware 6. Life time free Course Upgrade Why should you watch this Spark tutorial for beginners? Apache Spark is an open source computing framework up to 100 times faster than Mapreduce and Spark is alternative form of data processing unique in batch processing and streaming. Learning Spark will help you master all the skills needed to increase application performance and enable high-speed processing using Spark RDDs as well as help in customization of Spark using Scala. We are offering the top Spark tutorial that can be watched by anybody to learn Spark. Our Spark tutorial has been created with extensive inputs from the industry so that you can learn Spark easily. Why Spark is important? Today there is a widespread deployment of Big Data. With each passing day the requirements of enterprises increases and therefore there is a need for a faster and more efficient form of processing data. Most of the data is in unstructured format and it is coming in thick and fast as streaming data. The Intellipaat Spark beginners tutorial is easy to understand, has real world Spark examples and thus makes you understand why Spark is so important and why you should go for a Spark career. Why should you opt for a Spark career? Apache Spark is seeing widespread demand with enterprises finding it increasingly difficult to hire the right professionals to take on increasingly challenging roles in real world scenarios. It is a fact that today the Apache Spark community is one of the fastest Big Data communities with over 750 contributors from over 200 companies worldwide. The entire Intellipaat Spark course is in line with the industry needs. Also it is a fact that Apache Spark developers are among the highest paid programmers when it comes to programming for the Hadoop framework as compared to ten other Hadoop development tools. Hence this Intellipaat apache spark tutorial is your stepping stone to a successful career! For more information: Please write us to sales🤍intellipaat.com or call us at: +91-7847955955 Website: 🤍 Facebook: 🤍 LinkedIn: 🤍 Twitter: 🤍
Best Apache Spark Course: 🤍 Take my courses at 🤍 The Notebook: 🤍 Apache Spark / PySpark Tutorial in 15 minutes! Data Scientists, Data Engineers, and all Data Enthusiasts NEED to know Spark! This video gives an introduction to the Spark ecosystem and world of Big Data, using the Python Programming Language and its PySpark API. We also discuss the idea of parallel and distributed computing, and computing on a cluster of machines. Best Courses for Analytics: - + IBM Data Science (Python): 🤍 + Google Analytics (R): 🤍 + SQL Basics: 🤍 Best Courses for Programming: - + Data Science in R: 🤍 + Python for Everybody: 🤍 + Data Structures & Algorithms: 🤍 Best Courses for Machine Learning: - + Math Prerequisites: 🤍 + Machine Learning: 🤍 + Deep Learning: 🤍 + ML Ops: 🤍 Best Courses for Statistics: - + Introduction to Statistics: 🤍 + Statistics with Python: 🤍 + Statistics with R: 🤍 Best Courses for Big Data: - + Google Cloud Data Engineering: 🤍 + AWS Data Science: 🤍 + Big Data Specialization: 🤍 More Courses: - + Tableau: 🤍 + Excel: 🤍 + Computer Vision: 🤍 + Natural Language Processing: 🤍 + IBM Dev Ops: 🤍 + IBM Full Stack Cloud: 🤍 + Object Oriented Programming (Java): 🤍 + TensorFlow Advanced Techniques: 🤍 + TensorFlow Data and Deployment: 🤍 + Generative Adversarial Networks / GANs (PyTorch): 🤍 Become a Member of the Channel! 🤍 Follow me on LinkedIn! 🤍 Art: 🤍 🤍 Music: 🤍 Sound effects: 🤍 Full Disclosure: Please note that I may earn a commission for purchases made at the above sites! I strongly believe in the material provided; I only recommend what I truly think is great. If you do choose to make purchases through these links; thank you for supporting the channel, it helps me make more free content like this! #GregHogg #DataScience #MachineLearning
Spark Learning Roadmap in 90Seconds
for future reference (and cntl+C/cntl+V'ing), use the notebook: 🤍
🔵 Intellipaat PySpark training: 🤍 In this PySpark Tutorial For Beginners video, you will learn introduction big data, 5V's of Big Data, Hadoop & its Ecosystem, Introduction to Apache Spark, Features of Apache Spark, its Ecosystem & applications, Difference between Hadoop vs Spark, How to use Apache spark with Hadoop, Introduction to PySpark, Why python for spark, Why should you learn python, Python Variables, Keywords, literals, Types of Operators, Different Data Types, Arrays in Python , Inheritance, Polymorphism , Lambda Functions in Python, Introduction to PySpark Shel, Spark RDDs & Features of Spark RDDs, Hands-on demo on PySpark Big Data Processing. This Apache Spark with Python tutorial is a must watch for everyone who wish to learn PySpark and make a career in it. 🔵Following topics are covered in this video 00:00 - PySpark Tutorial For Beginners 01:13 - Introduction to Big Data 1:02:52 - Introduction to Apache Spark 1:21:19 - How to use Apache spark with Hadoop 1:40:51 - Introduction to PySpark 1:46:37 - Python Variables, Keywords, Literals 2:15:00 - Types of Operators, Data types, Arrays in Python 3:28:08 - Inheritance, Polymorphism, Lambda Functions in Python 5:26:05 - Introduction to PySpark Shell 6:54:58 - Hands-on demo : PySpark Big Data Processing #PySparkTutorialForBeginners #ApacheSparkWithPythonTutorial #PySparkTutorial #Python #ApacheSpark #PySpark #PySparkTraining #PySparkCourse #Intellipaat 🔵 To subscribe to the Intellipaat channel & get regular updates on videos: 🤍 🔵 Know top 5 reasons to learn python: 🤍 🔵 Watch complete Python tutorials here: 🤍 🔵 Read the complete Python tutorial here: 🤍 🔵 Read the insightful blog on Python certification: 🤍 Do you want to learn PySpark more? Enroll in our PySpark certification training course and become a certified PySpark Professional (🤍 It is a 24 hrs instructor-led training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this Pyspark Tutorial video, Like us and Subscribe to our channel for more similar informative videos and free tutorials. Got any questions about PySpark RDDs? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Lifetime Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Courseware 6. Lifetime free Course Upgrade 🔵 Why should you watch this PySpark tutorial? This PySpark tutorial is designed in a way that you learn it from scratch. This Intellipaat PySpark tutorial will help you develop custom, feature-rich applications using Python and Spark. 🔵 Why PySpark is important? This PySpark tutorial will show you how Python for spark has an elegant syntax, is easy to code, debug and run. You will learn PySpark is deployed across industry verticals by going through this video. The Intellipaat PySpark tutorial is easy to understand, has real-world PySpark examples, and thus makes you understand why PySpark is so important and why you should learn PySpark and go for a PySpark career. 🔵 Why should you opt for a PySpark career? If you want to fast-track your career then you should strongly consider PySpark. The reason for this is that it is one of the fastest-growing and widely used. There is a huge demand for PySpark programmers. The salaries for PySpark programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat PySpark tutorial is your stepping stone to a successful career! For more information: Please write us at sales🤍intellipaat.com, or call us at +91- 7847955955 US: 1-800-216-8930(Toll-Free) Website: 🤍 Facebook: 🤍 LinkedIn: 🤍 Twitter: 🤍 Telegram : 🤍 Instagram: 🤍
In this first lesson, you learn about scale-up vs. scale-out, Databricks, and Apache Spark. This video lays the foundation of the series by explaining what Apache Spark and Databricks are. The series will take you from Padawan to Jedi Knight! Join me! Join my Patreon Community 🤍 Twitter: 🤍BryanCafferky Slides and Other Content when Applicable available at: 🤍
▶️ Intellipaat's Data Engineering Course: 🤍 Welcome to our PySpark tutorial for beginners! In this tutorial, we will introduce you to PySpark, a powerful open-source data processing framework that allows you to work with big data efficiently. In this tutorial, we will start with the basics of PySpark and gradually move toward more advanced topics. You will learn Pyspark Module Functions, create RDDs (Resilient Distributed Datasets), and perform transformations and actions on them. You will also learn about Spark SQL, which allows you to use SQL queries to process data in PySpark. We will cover various PySpark operations, including filtering, mapping, aggregating, and joining datasets. We will also discuss how to use PySpark with different data sources, such as CSV files, JSON files, and databases. By the end of this tutorial, you will have a solid understanding of PySpark and its capabilities. Whether you are a data scientist, data analyst, or software developer, this tutorial will provide you with the essential knowledge to work with big data using PySpark. Don't forget to subscribe to our channel for more tutorials and hit the bell icon to receive notifications when we upload new videos. Let's get started with PySpark! 🔵 Intellipaat Training courses: 🤍 Intellipaat is a global online professional training provider. We offer some of the most updated, industry-designed certification training programs, including studies in Big Data, Data Science, Artificial Intelligence, and 150 other top-trending technologies. We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape. #PySparkFullCourse2023 #PySparkTutorial #ApacheSparkTutorial #Intellipaat 📌 Do subscribe to Intellipaat channel & get regular updates on videos: 🤍 👉Following topics are covered in this video: 00:00:00 - Introduction to Pyspark 00:04:14 - Pyspark Module Functions 00:05:21 - Pyspark Hands-On 00:52:27 - Pyspark Hands-On 02:43:16 - Introduction to Spark SQL 03:14:15 - Spark DataFrame API 03:18:18 - Spark DataFrame Transformations 05:24:09 - Performance Tuning 06:23:00 - What is the need for Kafka? 06:42:35 - Components of Kafka 06:47:30 - Architecture of Kafka Cluster 🔵 Intellipaat Edge 1. 24*7 Lifetime Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry-Oriented Courseware 6. Life time free Course Upgrade 🔵 For more information: Please write us to sales🤍intellipaat.com or call us at: +91-7847955955 - Website: 🤍 - Facebook: 🤍 - Telegram: 🤍 - Instagram: 🤍 - LinkedIn: 🤍 - Twitter: 🤍
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In this era of Artificial intelligence, machine learning, and data science, algorithms that run on Distributed Iterative computation make the task of distributing and computing huge volumes of data easy. Spark is a lightning fast, in-memory, cluster computing framework that can be used for a variety of purposes. This JVM based open source framework can be used for processing and analyzing huge volumes of data and at the same time can be used to distribute data over a cluster of machines. Get trained in Apache Spark with Scala and accelerate your tech career: 🤍 📚 Check out the Computer Programming Basics Playlist - 🤍 Follow us on our social handles for more such exciting deals and offers: ▪️ Facebook: 🤍 ▪️ LinkedIn: 🤍 ▪️ Twitter: 🤍 ▪️ Instagram: 🤍 ▪️ YouTube: 🤍
🔥Intellipaat PySpark training: 🤍 In this PySpark tutorial for beginners video you will learn what is apache spark with python, components of spark, spark architecture, methods of spark deployment, first pyspark job, rdd concepts, features, operations and transformations of rdd in pyspark in detail. #PySparkTutorial #PySparkTutorialforBeginners #ApacheSparkwithPython #PySpark #Intellipaat 📝Following topics are covered in this pyspark training : 01:10 - Spark Stack 01:40 - Spark Core 03:13 - Spark SQL 04:23 - Spark Streaming 05:57 - Spark MLlib 09:02 - Spark GraphX 10:55 - Categories of Spark Components 13:15 - Spark Architecture 20:07 - Spark Deployment modes 22:45 - Running Spark Applications on YARN 24:37 - Cluster Deployment Mode 26:25 - Client Deployment Mode 27:12 - Spark Shell 28:08 - Spark Web UI 29:47 - Spark Web UI-Jobs 30:44 - Spark Web UI-Stages 31:22 - Spark Web UI-Storage 32:27 - Spark Web UI-Environment 33:12 - Spark Web UI-Executors 34:04 - PySpark Shell 36:05 - Submitting a PySpark job 39:45 - The first PySpark Job 41:04 - Working on Google Colab 46:22 - What are Spark RDDs? 49:35 - RDD Workflow 51:15 - Stopgaps in the Existing Computing methodologies 53:14 - How do RDDs solve the problem? 55:10 - Features of Spark RDDs 57:56 - Ways to Create RDDs in PySpark 01:01:55 - RDD Persistence and Caching 01:03:27 - Persistence Level 01:04:45 - RDD Persistence 01:06:00 - Operation on RDD 01:06:40 - RDD Transformations 01:27:30 - RDD Actions 01:38:30 - RDD Functions 01:44:50 - RDD Lineage 01:46:30 - Word Count using RDD Concepts 01:49:30 - RDD Partitioning 01:51:50 - RDD Partitioning Types 01:52:55 - HashPartitioner 01:54:00 - RangePartitioner 01:56:00 - Passing Functions to Spark 02:01:03 - Quiz 📌 Do subscribe to Intellipaat channel & get regular updates on videos: 🤍 💡 Know top 5 reasons to learn python: 🤍 🔗 Watch complete Python tutorials here: 🤍 📕 Read complete Python tutorial here: 🤍 📕Read insightful blog on Python certification: 🤍 Are you looking for something more? Enroll in our PySpark certification training course and become a certified PySpark Professional (🤍 It is a 24 hrs instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this PySpark dataframe tutorial video, Like us and Subscribe to our channel for more similar informative videos and free tutorials. Got any questions about PySpark rdds? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Course ware 6. Life time free Course Upgrade Why should you watch this PySpark tutorial? This PySpark tutorial is designed in a way that you learn it from scratch. This Intellipaat PySpark tutorial will help you develop custom, feature-rich applications using Python and Spark. Why PySpark is important? This PySpark tutorial will show you how Python for spark has an elegant syntax, is easy to code, debug and run. You will learn PySpark is deployed across industry verticals by going through this video. The Intellipaat PySpark tutorial is easy to understand, has real world PySpark examples and thus makes you understand why PySpark is so important and why you should learn PySpark and go for a PySpark career. Why should you opt for a PySpark career? If you want to fast-track your career then you should strongly consider PySpark. The reason for this is that it is one of the fastest growing and widely used. There is a huge demand for PySpark programmers. The salaries for PySpark programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat PySpark tutorial is your stepping stone to a successful career! For more Information: Please write us to sales🤍intellipaat.com, or call us at: +91- 7847955955 US : 1-800-216-8930(Toll Free) Website: 🤍 Facebook: 🤍 Telegram: 🤍 Instagram: 🤍 LinkedIn: 🤍 Twitter: 🤍
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( Apache Spark Training - 🤍 ) This Edureka Spark Architecture Tutorial video will help you to understand the Architecture of Spark in depth. It includes an example where we will create an application in Spark Shell using Scala. It will also take you through the Spark Web UI, DAG and Event Timeline of the executed tasks. The following topics are covered in this video: 1. Apache Spark & Its features 2. Spark Eco-system 3. Resilient Distributed Dataset(RDD) 4. Spark Architecture 5. Word count example Demo using Scala. Check our complete Apache Spark and Scala playlist here: 🤍 Instagram: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 - #ApacheSparkTutorial #SparkArchitecture #Edureka How it Works? 1. This is a 4 Week Instructor led Online Course, 32 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path. After completing the Apache Spark and Scala training, you will be able to: 1) Understand Scala and its implementation 2) Master the concepts of Traits and OOPS in Scala programming 3) Install Spark and implement Spark operations on Spark Shell 4) Understand the role of Spark RDD 5) Implement Spark applications on YARN (Hadoop) 6) Learn Spark Streaming API 7) Implement machine learning algorithms in Spark MLlib API 8) Analyze Hive and Spark SQL architecture 9) Understand Spark GraphX API and implement graph algorithms 10) Implement Broadcast variable and Accumulators for performance tuning 11) Spark Real-time Projects - - - - - - - - - - - - - - Who should go for this Course? This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for: 1. Big Data enthusiasts 2. Software Architects, Engineers and Developers 3. Data Scientists and Analytics professionals - - - - - - - - - - - - - - Why learn Apache Spark? In this era of ever-growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however, is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightning fast big data analysis platforms. The following Edureka blogs will help you understand the significance of Spark training: 5 Reasons to Learn Spark: 🤍 Apache Spark with Hadoop, Why it matters: 🤍 For more information, Please write back to us at sales🤍edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).
🔵 Intellipaat PySpark training: 🤍 In this PySpark tutorial for beginners video, you will learn what is pyspark, components of spark, spark architecture, methods of spark deployment, Pyspark Installation, Pyspark dataframe tutorial, RDD concepts, features, operations, and transformations of RDD in Pyspark in detail. #PySparkTutorialForBeginners #LearnPySpark #PySparkTraining #PySparkCourse #PySparkCertification #PySparkTutorial #Intellipaat 🔵 The Following are covered in this video: 00:00:00 What is Big Data? 00:12:57 What is Hadoop? 00:30:12 Quiz 00:36:27 Why Spark? eBay Use Case 00:38:24 Why do we need Spark when we have Hadoop? 00:40:01 Spark Architecture 00:43:49 What is Python? 00:50:08 Quiz 00:58:07 Python Variables 01:08:37 Python Tokens 01:29:58 Data Types in Python 02:29:17 Encapsulation in Python 02:38:20 PySpark Tutorial for Beginners 02:42:51 When to use Python or Scala with Spark? 03:05:18 Spark Architecture 03:20:08 Spark Web UI 03:26:34 Introduction to PySpark Shell 03:39:04 What are Spark RDDs? 03:48:26 Features of Spark RDDs 04:55:29 Spark for Big Data 05:43:26 PySpark Workshop Big Data Processing 05:55:19 Live Workshop 🔵 To subscribe to the Intellipaat channel & get regular updates on videos: 🤍 🔵 Know top 5 reasons to learn python: 🤍 🔵 Watch complete Python tutorials here: 🤍 🔵 Read the complete Python tutorial here: 🤍 🔵 Read the insightful blog on Python certification: 🤍 Do you want to learn PySpark more? Enroll in our PySpark certification training course and become a certified PySpark Professional (🤍 It is a 24 hrs instructor-led training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this PySpark Course video, Like us and Subscribe to our channel for more similar informative videos and free tutorials. Got any questions about PySpark RDDs? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Lifetime Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Courseware 6. Lifetime free Course Upgrade 🔵 Why should you watch this PySpark tutorial? This PySpark tutorial is designed in a way that you learn it from scratch. This Intellipaat PySpark tutorial will help you develop custom, feature-rich applications using Python and Spark. 🔵 Why PySpark is important? This PySpark tutorial will show you how Python for spark has an elegant syntax, is easy to code, debug and run. You will learn PySpark is deployed across industry verticals by going through this video. The Intellipaat PySpark tutorial is easy to understand, has real world PySpark examples and thus makes you understand why PySpark is so important and why you should learn PySpark and go for a PySpark career. 🔵 Why should you opt for a PySpark career? If you want to fast-track your career then you should strongly consider PySpark. The reason for this is that it is one of the fastest-growing and widely used. There is a huge demand for PySpark programmers. The salaries for PySpark programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat PySpark tutorial is your stepping stone to a successful career! For more information: Please write us at sales🤍intellipaat.com, or call us at +91- 7847955955 US: 1-800-216-8930(Toll-Free) Website: 🤍 Facebook: 🤍 Telegram: 🤍 Instagram: 🤍 LinkedIn: 🤍 Twitter: 🤍
Apache Spark Tutorial for beginners 0:00 What is Apache Spark 6:46 Spark RDD (Resilient Distributed Dataset) 8:34 How to create RDD. Different ways to create RDD 9:47 RDD Operations - Transformations and Actions 11:21 How to setup Spark cluster in GCP (Google Cloud Platform) 16:51 How to setup practice data in GCP 23:44 Dataframe abstraction in Apache Spark 24:48 Architecture of Spark SQL 25:36 What is SparkSession 28:12 How to read write csv data in Apache Spark 54:47 How to work with AVRO data in Apache Spark 1:03:29 How to manipulate date columns in Spark Dataframe 1:13:49 How to manipulate String columns in Spark Dataframe 1:23:28 How to work with Dataframe columns 1:34:41 How to work with Hive table in Apache Spark 1:47:24 How to read write JSON in Apache Spark 1:56:27 How to read write parquet file in Apache Spark 2:04:27 Windowing and Analytical functions 2:14:37 Ranking window functions 2:25:40 Aggregate Functions 🔵 COMPLETE APACHE SPARK TUTORIAL PLAYLIST 🔵 ✔️ 🤍 🔵 WORKING WITH STRUCTURED DATA IN APACHE SPARK 🔵 ✔️ How to read write CSV file 🤍 ✔️ How to read/write AVRO file 🤍 ✔️ How to read write Parquet file data 🤍 ✔️ How to read/write JSON file 🤍 ✔️ How to read/write Hive Metastore 🤍 🔵 WORKING WITH DATE COLUMNS IN APACHE SPARK 🔵 ✔️ Manipulate Date in Spark dataframe 🤍 ✔️ Work with/manipulate String columns 🤍 🔵 WORKING WITH WINDOWING, AGGREGATE FUNCTIONS IN APACHE SPARK 🔵 ✔️ Ranking Functions in Apache Spark 🤍 ✔️ Windowing Functions in Apache Spark 🤍 ✔️ Analytical Functions in Spark 🤍
*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Post Graduate Program In Data Engineering: 🤍 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): 🤍 This video on Spark Tutorial covers all the concepts you need to know in Spark. You will learn what apache spark is, the features of Apache Spark, and the architecture of Apache Spark. You will understand the various components of Apache Spark, such as Spark Core, Spark SQL, Spark Streaming, Spark MLlib, and Spark GraphX. You will look into a case study of Spark for OpenTable company. Finally, you will do a demo on linear regression and logistic regression using PySpark. ✅Subscribe to our Channel to learn more about the top Technologies: 🤍 ⏩ Check out the Apache Spark tutorial videos: 🤍 #SparkTutorial #SparkTutorialForBeginners #SparkArchitecture #ApacheSpark #ApacheSparkTutorial #WhatIsApacheSpark #SimplilearnApacheSpark #Simplilearn 🔥Enroll for Free Big Data Hadoop Spark Developer Course & Get Your Completion Certificate: 🤍 ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features Post Graduate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real-Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
🔵 Intellipaat Apache Spark Scala Course:- 🤍 In this Spark Training video, you will learn what is big data, what is apache-spark, apache-spark architecture, spark RDD's, spark streaming, various spark components and demo on spark components like data frames and mllib, what is JSON in the spark in detail. All the concepts are explained with the complete hands-on demo so that you can understand the concepts well. #SparkTraining #SparkCourse #LearnApacheSpark #SparkTutorial #SparkForBeginners #ApacheSpark #Intellipaat 00:00:00 - Spark Training 00:01:10 - What is Apache Spark 00:07:56 - Spark RDDs 00:19:28 - Spark Components 00:24:55 - Demo 00:34:45 - Spark and Scala 01:02:36 - Dealing with JSON Data 01:19:49 - Spark-Hive Integration 01:34:33 - Performance Tuning 01:48:36 - Hands-on Spark 02:57:49 - Spark Streaming 03:44:44 - Apache Spark RDD 03:51:12 - RDD Operations: Transformation and Actions 04:04:45 - What are Data frames in Spark? 04:06:52 - DataFrame Tutorial 04:19:32 - How to access Data Files? 04:22:12 - How to query Data Files? 04:45:02 - Companies that use Spark 04:45:27 - Business Problem Solving using Spark 🔵 Do subscribe to the Intellipaat channel & get regular updates on videos: 🤍 🔵 Watch Apache Spark video tutorials here: 🤍 🔵 Read the complete Apache Spark tutorial here: 🤍 🔵 Get Apache Spark& RDD's cheat sheet here: 🤍 🔵 Interested to learn Apache Spark still more? Please check similar Spark blogs here:- 🤍 Are you looking for something more? Enroll in our Spark course & certification and become a certified Spark Professional (🤍 It is a 24 hrs instructor led Spark training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this Spark Course, Like us and Subscribe to our channel for more similar informative Spark tutorials. Got any questions about apache spark? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Lifetime Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Courseware 6. Lifetime free Course Upgrade Why should you watch this Spark tutorial for beginners? Apache Spark is an open-source computing framework up to 100 times faster than MapReduce and Spark is an alternative form of data processing unique in batch processing and streaming. Learning Spark will help you master all the skills needed to increase application performance and enable high-speed processing using Spark RDDs as well as help in customization of Spark using Scala. We are offering the top Spark tutorial that can be watched by anybody to learn Spark. Our Spark tutorial has been created with extensive inputs from the industry so that you can learn Spark easily. Why Spark is important? Today there is widespread deployment of Big Data. With each passing day the requirements of enterprises increases and therefore there is a need for a faster and more efficient form of processing data. Most of the data is in unstructured format and it is coming in thick and fast as streaming data. The Intellipaat Spark beginners tutorial is easy to understand, has real-world Spark examples, and thus makes you understand why Spark is so important and why you should go for a Spark career. Why should you opt for a Spark career? Apache Spark is seeing widespread demand with enterprises finding it increasingly difficult to hire the right professionals to take on increasingly challenging roles in real-world scenarios. It is a fact that today the Apache Spark community is one of the fastest Big Data communities with over 750 contributors from over 200 companies worldwide. The entire Intellipaat Spark course is in line with the industry needs. Also, it is a fact that Apache Spark developers are among the highest-paid programmers when it comes to programming for the Hadoop framework as compared to ten other Hadoop development tools. Hence this Intellipaat apache spark tutorial is your stepping stone to a successful career! For more information: Call Our Course Advisors IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free) Website: 🤍 Facebook: 🤍 LinkedIn: 🤍 Twitter: 🤍
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🔵 Intellipaat PySpark training: 🤍 In this Pyspark Training video, you will learn what is Big data & Hadoop, 5 Vs Big Data, Map Reduce, and HDFS, Introduction to Apache Spark & its basic concepts, Applications using Apache Spark, Introduction to Pyspark, Pyspark Installation, Pyspark data frame, Spark RDD concepts, Pyspark hands-on demo in detail. #PysparkTraining #PysparkTutorial #PysparkDataframeTutorial #Pyspark #Intellipaat 00:00 - PySpark Tutorial 02:10 - What is Big Data 10:00 - 5 V’s of Big Data 14:38 - What is Hadoop? 54:24 - Hadoop Ecosystem 01:07:51 - Introduction to Apache Spark 01:16:16 - History of Spark 01:17:55 - Features of Apache Spark 01:25:27 - Apache Spark Ecosystem 01:36:04 - Spark vs Hadoop 01:41:44 - Using Apache Spark with Hadoop 01:53:30 - Apache Spark Application #1: Healthcare 01:56:28 - Apache Spark Application #2: Manufacturing 02:00:33 - Apache Spark Application #3: Media 02:03:02 - Apache Spark Application #4: Internet of Things 02:03:53 - Apache Spark Application #5: Government 02:05:39 - What is Python? 02:11:54 - Artificial intelligence 02:14:55 - Web Development 02:19:34 - Python Variables 02:30:03 - Python Tokens 02:51:12 - Data Types in Python 03:36:07 - Hands-on: Data Types 03:50:30 - Encapsulation in Python 03:59:29 - Advantages of PySpark 04:05:38 - PySpark Installation 04:11:45 - Spark Architecture 04:18:40 - Spark Deployment Modes 04:21:30 - Spark Shell 04:22:14 - Spark Web UI 04:30:37 - Submitting a PySpark Job 04:41:12 - What are Spark RDDs? 04:44:19 - Stopgaps in the Existing Computing Methodologies 04:51:40 - Ways to Create RDDs in PySpark 04:59:40 - Operations on RDDs 05:41:49 - RDD Partitioning and Achieving Parallelism 05:48:10 - Passing Functions to Spark 05:53:49 - Spark for Big Data 06:01:17 - How to query Data Files? 06:33:15 - HDFS Architecture 06:39:30 - Live Workshop 🔵 To subscribe to the Intellipaat channel & get regular updates on videos: 🤍 🔵 Know top 5 reasons to learn python: 🤍 🔵 Watch complete Python tutorials here: 🤍 🔵 Read the complete Python tutorial here: 🤍 🔵 Read the insightful blog on Python certification: 🤍 Do you want to learn PySpark more? Enroll in our PySpark certification training course and become a certified PySpark Professional (🤍 It is a 24 hrs instructor-led training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you’ve enjoyed this Pyspark Tutorial video, Like us and Subscribe to our channel for more similar informative videos and free tutorials. Got any questions about PySpark RDDs? Ask us in the comment section below. Intellipaat Edge 1. 24*7 Lifetime Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs 5. Industry Oriented Courseware 6. Lifetime free Course Upgrade 🔵 Why should you watch this PySpark tutorial? This PySpark tutorial is designed in a way that you learn it from scratch. This Intellipaat PySpark tutorial will help you develop custom, feature-rich applications using Python and Spark. 🔵 Why PySpark is important? This PySpark tutorial will show you how Python for spark has an elegant syntax, is easy to code, debug and run. You will learn PySpark is deployed across industry verticals by going through this video. The Intellipaat PySpark tutorial is easy to understand, has real-world PySpark examples, and thus makes you understand why PySpark is so important and why you should learn PySpark and go for a PySpark career. 🔵 Why should you opt for a PySpark career? If you want to fast-track your career then you should strongly consider PySpark. The reason for this is that it is one of the fastest-growing and widely used. There is a huge demand for PySpark programmers. The salaries for PySpark programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat PySpark tutorial is your stepping stone to a successful career! For more information: Please write us at sales🤍intellipaat.com, or call us at +91- 7847955955 US: 1-800-216-8930(Toll-Free) Website: 🤍 Facebook: 🤍 LinkedIn: 🤍 Twitter: 🤍 Telegram : 🤍 Instagram: 🤍
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Apache Spark Introduction {தமிழ்} Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. Video Playlist - Hadoop in Tamil - 🤍 Hadoop in English - 🤍 Spark in Tamil - 🤍 Spark in English - 🤍 Hive in Tamil - 🤍 Hive in English - 🤍 Data Engineering in Tamil - 🤍 Data Engineering in English - 🤍 Batch vs Stream processing Tamil - 🤍 Batch vs Stream processing English - 🤍 NOSQL in English - 🤍 NOSQL in Tamil - 🤍 Scala in Tamil: 🤍 Scala in English: 🤍 Email : atozknowledge.com🤍gmail.com LinkedIn : 🤍 Instagram : 🤍 YouTube channel link 🤍youtube.com/atozknowledgevideos Website 🤍 Technology in Tamil & English #spark #apachespark #bigdata
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This is an extract from the Virtual Pair Programmers Apache Spark for Java Developers course. The course will help you get started with the amazing Apache Spark parallel computing framework - this course is designed especially for Java Developers. In this chapter we show you how to "install" Spark - it's just a maven dependency. In the full course you will learn all the fundamentals that you need to understand the main operations that you can perform in Spark Core, deploy to a live EMR hardware cluster and understand the internals of Spark and how it optimises your execution plans. You will get some great practice with Java 8 Lambdas - our most "functional" course to date! The full course is available at 🤍virtualpairprogrammers.com
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