Wednesday, April 24, 2019

Big Data Analytics with Spark

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This book is a concise and easy-to-understand tutorial for big data and Spark. It will help you learn how to useSpark for a variety of big data analytic tasks. It covers everything that you need to know to productively use Spark. One of the benefits of purchasing this book is that it will help you learn Spark efficiently; it will save you a lot of time. The topics covered in this book can be found on the Internet. There are numerous blogs, presentations, and YouTube videos covering Spark. In fact, the amount of material on Spark can be overwhelming. You could spend months reading bits and pieces about Spark at different places on the Web. This book provides a better alternative with the content nicely organized and presented in an easy-to-understand format.

The content and the organization of the material in this book are based on the Spark workshops that I occasionally conduct at different big data–related conferences. The positive feedback given by the attendees for both the content and the flow motivated me to write this book.

One of the differences between a book and a workshop is that the latter is interactive. However, after conducting a number of Spark workshops, I know the kind of questions people generally have and I have addressed those in the book. Still, if you have questions as you read the book, I encourage you to contact me via LinkedIn or Twitter. Feel free to ask any question. There is no such thing as a stupid question.

About the Author
About the Technical Reviewers
Chapter 1: Big Data Technology Landscape
Chapter 2: Programming in Scala
Chapter 3: Spark Core
Chapter 4: Interactive Data Analysis with Spark Shell
Chapter 5: Writing a Spark Application
Chapter 6: Spark Streaming
Chapter 7: Spark SQL
Chapter 8: Machine Learning with Spark
Chapter 9: Graph Processing with Spark
Chapter 10: Cluster Managers
Chapter 11: Monitoring

Author Details
"Mohammed Guller"

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