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PySpark SQL Recipes
- With HiveQL, Dataframe and Graphframes
Engelsk
Bogcover for PySpark SQL Recipes af Raju Kumar Mishra, Sundar Rajan Raman, 9781484243343
Specifikationer
Sprog:
Engelsk
Sider:
323
ISBN-13:
9781484243343
Indbinding:
Paperback
ISBN-10:
148424334X
Udg. Dato:
19 mar 2019
Størrelse i cm:
15,6 x 23,2 x 2,3
Forlag:
Oplagsdato:
19 mar 2019

PySpark SQL Recipes

- With HiveQL, Dataframe and Graphframes
Engelsk
Paperback 2019
Format:

Bog beskrivelse
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 For
Data scientists, Python programmers, and SQL programmers.




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Specifikationer
Sprog:
Engelsk
Sider:
323
ISBN-13:
9781484243343
Indbinding:
Paperback
ISBN-10:
148424334X
Udg. Dato:
19 mar 2019
Størrelse i cm:
15,6 x 23,2 x 2,3
Forlag:
Oplagsdato:
19 mar 2019
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