PySpark SQL Recipes

With HiveQL, Dataframe and Graphframes

Autor: Raju Kumar Mishra, Sundar Rajan Raman

Jazyk:

Väzba: Brožovaná

Vydavateľ: APress

Dostupnosť: Skladom u dodávateľa

Odosielame za 9-15 dní

34.47 €

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-sol...

Informácie o knihe

Autor

Raju Kumar Mishra, Sundar Rajan Raman

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2019

Stránok

323

EAN

9781484243343

Enbook ID

20634971

Vydavateľ

APress

Hmotnosť

518

Rozmery

155 x 235 x 23

Kompletný popis

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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PySpark SQL Recipes

With HiveQL, Dataframe and Graphframes

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Kompletný popis

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