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Mishra, Raju Kumar

Ryspark SQL recipes : with HiveQL, dataframe and graphframes / Raju Kumar Mishra and Sundar Rajan Raman - New York Apress 2022 - 323p.

Carry out data analysis using a problem-solution approach with PySpark SQL, graph frames, and graph data processing. This book provides solutions to problems related to data frames, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graph frames and see how to optimize your PySpark SQL code. "PySpark SQL recipes" start with recipes for creating data frames from different types of data sources, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You'll also discover how to solve problems in graph analysis using graph frames. On completing this book, you'll have ready-made code for all your PySpark SQL tasks, including creating data frames using data from different file formats aandSQL or NoSQL databases.

ISBN: 9781484276020

Subjects--Topical Terms:
Python (Computer program language)
Big Data
SPARK (Computer program language)
Open source software
Computer programming
Programming languages (Electronic computers)
Computer science

Dewey Class. No.: 005.133 MIS-R