Scala and Spark for Big Data Analytics (e-book)

Scala and Spark for Big Data Analytics (e-book) - Opis

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. Spis treści: 1. Introduction to Scala2. Object-oriented Scala3. Functional programming concepts4. Collections API5. Tackle Big Data Spark comes to the party6. Start Working with Spark REPL and RDDs7. Special RDD Operations8. Introduce a Little Structure SparkSQL9. Stream Me Up Scotty: Spark Streaming10. Everything is Connected GraphX11. Learning Machine Learning Spark Mllib12. (...) więcej Advanced Machine Learning Best Practices13. My Name is Bayes, Naive Bayes14. Time to Put Some Order Cluster Your Data with Spark Mllib15. Text Analytics using Spark ML16. Spark Tuning17. Time to Go to ClusterLand Deploy Spark on a Cluster18. Testing and Debugging Spark19. PySpark and SparkR20. Appendix A - Accelerating Spark with Alluxio21. Appendix B - Interactive Data Analytics with Apache Zepplin mniej