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Learning Spark SQL

You're reading from Learning Spark SQL

Product type Book

Published in Sep 2017

Publisher Packt

ISBN-13 9781785888359

Pages 452 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Aurobindo Sarkar

Table of Contents (19) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Getting Started with Spark SQL

2. Using Spark SQL for Processing Structured and Semistructured Data

3. Using Spark SQL for Data Exploration

4. Using Spark SQL for Data Munging

5. Using Spark SQL in Streaming Applications

6. Using Spark SQL in Machine Learning Applications

7. Using Spark SQL in Graph Applications

8. Using Spark SQL with SparkR

9. Developing Applications with Spark SQL

10. Using Spark SQL in Deep Learning Applications

11. Tuning Spark SQL Components for Performance

12. Spark SQL in Large-Scale Application Architectures

About the Reviewer

Sumit Gupta is a seasoned professional, innovator, and technology evangelist with over 100 months of experience in architecting, managing, and delivering enterprise solutions revolving around a variety of business domains, such as hospitality, healthcare, risk management, insurance, and more. He is passionate about technology and has an overall hands-on experience of over 16 years in the software industry. He has been using big data and cloud technologies over the last 5 years to solve complex business problems.

Sumit has also authored Neo4j Essentials, Building Web Applications with Python, and Neo4j, Real-Time Big Data Analytics, and Learning Real-time Processing with Spark Streaming, all by Packt.

You can find him on LinkedIn at sumit1001.

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Authors (1)

Aurobindo Sarkar

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