Ryspark SQL recipes : with HiveQL, dataframe and graphframes / Raju Kumar Mishra and Sundar Rajan Raman

By:

Mishra, Raju Kumar

Contributor(s):

Raman, Sundar Rajan

Material type: Text

TextPublication details: New York Apress 2022Description: 323pISBN:

9781484276020

Subject(s):

DDC classification:

005.133 MIS-R

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Books	BITS Pilani Hyderabad	003-007	General Stack (For lending)	005.133 MIS-R (Browse shelf(Opens below))	Available		45596

Total holds: 0

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.

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