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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning

Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning

Md. Rezaul Karim, Sridhar Alla

E-book
Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you.
The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment.
You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio.
By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.
  • 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
  • Titel: Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
  • Autor: Md. Rezaul Karim, Sridhar Alla
  • Originaler Titel: Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
  • ISBN: 9781783550500, 9781783550500
  • Veröffentlichungsdatum: 2017-07-25
  • Format: E-book
  • Artikelkennung: e_15ms
  • Verleger: Packt Publishing