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PySpark SQL Recipes

PySpark SQL Recipes

With HiveQL, Dataframe and Graphframes

by Raju Kumar Mishra and Sundar Rajan Raman
Paperback
Publication Date: 04/05/2019

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Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your PySpark SQL code.
PySpark SQL Recipes starts with recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You'll also discover how to solve problems in graph analysis using graphframes.
On completing this book, you'll have ready-made code for all your PySpark SQL tasks, including creating dataframes using data from different file formats as well as from SQL or NoSQL databases.
What You Will Learn


Understand PySpark SQL and its advanced features

Use SQL and HiveQL with PySpark SQL

Work with structured streaming

Optimize PySpark SQL

Master graphframes and graph processing



Who This Book Is ForData scientists, Python programmers, and SQL programmers.
ISBN:
9781484243343
9781484243343
Category:
SQL Server / MS SQL
Format:
Paperback
Publication Date:
04-05-2019
Publisher:
APress
Country of origin:
United States
Pages:
323
Dimensions (mm):
235x155mm
Weight:
0.53kg

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