Apache Spark Full Course - Learn Apache Spark in 8 Hours | Apache Spark Tutorial | Edureka

** Edureka Apache Spark Training (Use Code: YOUTUBE20) - https://www.edureka.co/apache-spark-scala-certification-training ) 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 : https://www.edureka.co/post-graduate/big-data-engineering (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) Instagram: https://www.instagram.com/edureka_learning Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka ---------------------------------------------------------------------------------------------------------- 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 [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).