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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

Introducing SparkR

R is a language and environment for statistical computing and visualization. It is one of the most popular tools used by statisticians and data scientists. R is open source and provides a dynamic interactive environment with a rich set of packages and powerful visualization features. It is an interpreted language that includes extensive support for numerical computing, with data types for vectors, matrices, arrays, and libraries for performing numerical operations.

R provides support for structured data processing using DataFrames. R DataFrames make data manipulation simpler and more convenient. However, R's dynamic design limits the extent of possible optimizations. Additionally, interactive data analysis capabilities and overall scalability are also limited, as the R runtime is single threaded and can only process Datasets that fit in a single machine's memory.

Note

For more details on R, refer to the R project website at https://www.r-project.org/about.html.

SparkR addresses...

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Authors (1)

Aurobindo Sarkar

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