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PySpark SQL Recipes

- With HiveQL, Dataframe and Graphframes
Af: Raju Kumar Mishra, Sundar Rajan Raman Engelsk Paperback

PySpark SQL Recipes

- With HiveQL, Dataframe and Graphframes
Af: Raju Kumar Mishra, Sundar Rajan Raman Engelsk Paperback
Tjek vores konkurrenters priser
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.




Tjek vores konkurrenters priser
Normalpris
kr 478
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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.




Produktdetaljer
Sprog: Engelsk
Sider: 323
ISBN-13: 9781484243343
Indbinding: Paperback
Udgave:
ISBN-10: 148424334X
Udg. Dato: 19 mar 2019
Længde: 23mm
Bredde: 232mm
Højde: 156mm
Forlag: APress
Oplagsdato: 19 mar 2019
Forfatter(e) Raju Kumar Mishra, Sundar Rajan Raman


Kategori Programmerings- & scriptsprog


ISBN-13 9781484243343


Sprog Engelsk


Indbinding Paperback


Sider 323


Udgave


Længde 23mm


Bredde 232mm


Højde 156mm


Udg. Dato 19 mar 2019


Oplagsdato 19 mar 2019


Forlag APress

Kategori sammenhænge