本书于2017-07由Packt Publishing出版，作者Md. Rezaul Karim, Sridhar Alla，全书1587页。

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通过本书你将学到以下知识

• Understand object-oriented & functional programming concepts of Scala
• In-depth understanding of Scala collection APIs
• Work with RDD and DataFrame to learn Spark’s core abstractions
• Analysing structured and unstructured data using SparkSQL and GraphX
• Scalable and fault-tolerant streaming application development using Spark structured streaming
• Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML
• Build clustering models to cluster a vast amount of data
• Understand tuning, debugging, and monitoring Spark applications
• Deploy Spark applications on real clusters in Standalone, Mesos, and YARN

如果想及时了解Spark、Hadoop或者Hbase相关的文章，欢迎关注微信公共帐号：iteblog_hadoop

本书的章节

1. INTRODUCTION TO SCALA
2. OBJECT-ORIENTED SCALA
3. FUNCTIONAL PROGRAMMING CONCEPTS
4. COLLECTION APIS
5. TACKLE BIG DATA – SPARK COMES TO THE PARTY
6. START WORKING WITH SPARK – REPL AND RDDS
7. SPECIAL RDD OPERATIONS
8. INTRODUCE A LITTLE STRUCTURE - SPARK SQL
9. STREAM ME UP, SCOTTY - SPARK STREAMING
10. EVERYTHING IS CONNECTED - GRAPHX
11. LEARNING MACHINE LEARNING - SPARK MLLIB AND SPARK ML
12. ADVANCED MACHINE LEARNING BEST PRACTICES
13. MY NAME IS BAYES, NAIVE BAYES
14. TIME TO PUT SOME ORDER - CLUSTER YOUR DATA WITH SPARK MLLIB
15. TEXT ANALYTICS USING SPARK ML
16. SPARK TUNING
17. TIME TO GO TO CLUSTERLAND - DEPLOYING SPARK ON A CLUSTER
18. TESTING AND DEBUGGING SPARK
19. PYSPARK AND SPARKR
20. ACCELERATING SPARK WITH ALLUXIO
21. INTERACTIVE DATA ANALYTICS WITH APACHE ZEPPELIN

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