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PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes - Raju Kumar Mishra,Sundar Rajan Raman

English
2019-03-19
€61.58 €76.98

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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 da ... Full description

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Description

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. Yoüll also discover how to solve problems in graph analysis using graphframes.
On completing this book, yoüll 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 For
Data scientists, Python programmers, and SQL programmers.

More Information

Author Raju Kumar Mishra, Sundar Rajan Raman
Publisher Apress
Release year 2019
Cover type Softcover
EAN 9781484243343
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€61.58 €76.98