PySpark SQL Recipes

With HiveQL, Dataframe and Graphframes

Autor: Raju Kumar Mishra, Sundar Rajan Raman

Jazyk:

Vazba: Brožovaná

Vydavatel: APress

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

832 Kč

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

Informace o knize

Autor

Raju Kumar Mishra, Sundar Rajan Raman

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2019

Stránek

323

EAN

9781484243343

Enbook ID

20634971

Vydavatel

APress

Hmotnost

518

Rozměry

155 x 235 x 23

Kompletní 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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Produkty

Produkty

PySpark SQL Recipes

With HiveQL, Dataframe and Graphframes

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také