PySpark SQL Recipes With HiveQL, Dataframe and Graphframes /

• Main Authors: Mishra, Raju Kumar (Author, http://id.loc.gov/vocabulary/relators/aut), Raman, Sundar Rajan (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Big data.; Open source software.; Computer programming.; Python (Computer program language).; Programming languages (Electronic computers).; Big Data.; Open Source.; Python.; Programming Languages, Compilers, Interpreters.

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 gra...