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Scala and Spark for Big Data Analytics

You're reading from  Scala and Spark for Big Data Analytics

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781785280849
Pages 796 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Md. Rezaul Karim Md. Rezaul Karim
Profile icon Md. Rezaul Karim
Sridhar Alla Sridhar Alla
Profile icon Sridhar Alla
View More author details

Table of Contents (19) Chapters

Preface 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. My Name is Bayes, Naive Bayes 13. Time to Put Some Order - Cluster Your Data with Spark MLlib 14. Text Analytics Using Spark ML 15. Spark Tuning 16. Time to Go to ClusterLand - Deploying Spark on a Cluster 17. Testing and Debugging Spark 18. PySpark and SparkR

A Brief introduction to streaming

In today's world of interconnected devices and services, it is hard to even spend a few hours a day without our smartphone to check Facebook, or order an Uber ride, or tweet something about the burger you just bought, or check the latest news or sports updates on your favorite team. We depend on our phones and Internet, for a lot of things, whether it is to get work done, or just browse, or e-mail your friend. There is simply no way around this phenomenon, and the number and variety of applications and services will only grow over time.

As a result, the smart devices are everywhere, and they generate a lot of data all the time. This phenomenon, also broadly referred to as the Internet of Things, has changed the dynamics of data processing forever. Whenever you use any of the services or apps on your iPhone, or Droid or Windows phone, in some...

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