PySpark SQL Recipes : With HiveQL, Dataframe and Graphframes Paperback / softback
by Raju Kumar Mishra, Sundar Rajan Raman
Paperback / softback
Description
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 LearnUnderstand PySpark SQL and its advanced featuresUse SQL and HiveQL with PySpark SQLWork with structured streamingOptimize PySpark SQL Master graphframes and graph processingWho This Book Is ForData scientists, Python programmers, and SQL programmers.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:323 pages, 57 Illustrations, black and white; XXIV, 323 p. 57 illus.
- Publisher:APress
- Publication Date:19/03/2019
- Category:
- ISBN:9781484243343
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:323 pages, 57 Illustrations, black and white; XXIV, 323 p. 57 illus.
- Publisher:APress
- Publication Date:19/03/2019
- Category:
- ISBN:9781484243343
