Book

Scala and Spark for Big Data Analytics

Over the last few years, Scala has been adopted increasingly, especially in the field of data science and analytics, along with Apache Spark, which is built on Scala and is widely used in the field of analytics. With this book, you’ll learn how to leverage the power of both Scala and Spark to make sense of big data.

Offered by

Difficulty Level

Intermediate

Completion Time

26h32m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 26h32m total length

1. Introduction to Scala

2. Object-oriented Scala

3. Functional programming concepts

4. Collections API

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 SparkSQL

9. Stream Me Up Scotty: Spark Streaming

10. Everything is Connected GraphX

11. Learning Machine Learning Spark Mllib

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 Deploy Spark on a Cluster

18. Testing and Debugging Spark

19. PySpark and SparkR

20. Appendix A - Accelerating Spark with Alluxio

21. Appendix B - Interactive Data Analytics with Apache Zepplin

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