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Spark Cookbook

You're reading from Spark Cookbook With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side

Product type Paperback

Published in Jul 2015

Publisher

ISBN-13 9781783987061

Length 226 pages

Edition 1st Edition

Tools

Apache Spark

Concepts

Data Analysis

Author (1):

Rishi Yadav

View More author details

Table of Contents (14) Chapters

Preface

1. Getting Started with Apache Spark

2. Developing Applications with Spark FREE CHAPTER

3. External Data Sources

4. Spark SQL

5. Spark Streaming

6. Getting Started with Machine Learning Using MLlib

7. Supervised Learning with MLlib – Regression

8. Supervised Learning with MLlib – Classification

9. Unsupervised Learning with MLlib

10. Recommender Systems

11. Graph Processing Using GraphX

12. Optimizations and Performance Tuning

Index

Chapter 5. Spark Streaming

Spark Streaming adds the holy grail of big data processing—that is, real-time analytics—to Apache Spark. It enables Spark to ingest live data streams and provides real-time intelligence at a very low latency of a few seconds.

In this chapter, we'll cover the following recipes:

Word count using Streaming
Streaming Twitter data
Streaming using Kafka

The rest of the chapter is locked

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Authors (1)

Yadav

Yadav

Rishi Yadav has 19 years of experience in designing and developing enterprise applications. He is an open source software expert and advises American companies on big data and public cloud trends. Rishi was honored as one of Silicon Valley's 40 under 40 in 2014. He earned his bachelor's degree from the prestigious Indian Institute of Technology, Delhi, in 1998. About 12 years ago, Rishi started InfoObjects, a company that helps data-driven businesses gain new insights into data. InfoObjects combines the power of open source and big data to solve business challenges for its clients and has a special focus on Apache Spark. The company has been on the Inc. 5000 list of the fastest growing companies for 6 years in a row. InfoObjects has also been named the best place to work in the Bay Area in 2014 and 2015. Rishi is an open source contributor and active blogger. This book is dedicated to my parents, Ganesh and Bhagwati Yadav; I would not be where I am without their unconditional support, trust, and providing me the freedom to choose a path of my own. Special thanks go to my life partner, Anjali, for providing immense support and putting up with my long, arduous hours (yet again).Our 9-year-old son, Vedant, and niece, Kashmira, were the unrelenting force behind keeping me and the book on track. Big thanks to InfoObjects' CTO and my business partner, Sudhir Jangir, for providing valuable feedback and also contributing with recipes on enterprise security, a topic he is passionate about; to our SVP, Bart Hickenlooper, for taking the charge in leading the company to the next level; to Tanmoy Chowdhury and Neeraj Gupta for their valuable advice; to Yogesh Chandani, Animesh Chauhan, and Katie Nelson for running operations skillfully so that I could focus on this book; and to our internal review team (especially Rakesh Chandran) for ironing out the kinks. I would also like to thank Marcel Izumi for, as always, providing creative visuals. I cannot miss thanking our dog, Sparky, for giving me company on my long nights out. Last but not least, special thanks to our valuable clients, partners, and employees, who have made InfoObjects the best place to work at and, needless to say, an immensely successful organization.

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