Скачать или смотреть 02 - Apache Spark for Java Developers - Table of Contents

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Apache Spark for Java Developers - Table of Contents
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Table of contents

Part I - Spark RDD

1. The Big Picture
Big Data
Local versus Distributed Systems
Apache Hadoop and MapReduce
Apache Spark
Cluster Mode Overview
Spark RDDs
2. Spark Installation and IntelliJ Project Setup
3. Spark RDD - First Program
4. Create RDD using parallelize()
5. Create RDD using External Datasets
6. Spark RDD Actions - reduce(), fold(), aggregate()
7. Spark RDD Transformations - map(), flatMap(), filter()
8. Spark RDD - Printing elements
9. Spark RDD - Tuples
10. Spark RDD - PairRDDs
11. Exercise 1 - Unique Word Count
12. Spark RDD - repartition(), coalesce()
13. Spark RDD - Joins
14. Spark RDD - Shuffles
15. Spark RDD - Persistence
Cache vs Persist
Persistence Storage Levels
16. Spark RDD - Closures and Shared Variables
Accumulators
Broadcast Variables
17. Exercises and Solutions
18. Spark RDD - Submitting applications
19. Databricks and AWS EMR
20. Introduction to Kryo Serialization
21. Tuning Spark

Part II - Spark SQL

Part III - Spark Streaming

Part IV - Spark ML

Apache Spark for Java Developers Playlist:    • Apache Spark for Java Developers  
Java Serialization Playlist:    • Java Serialization  
Dynamic Programming Playlist:    • Dynamic Programming  

#java #javadevelopers #javaprogramming #apachespark #spark