PySpark SQL Recipes : With HiveQL, Dataframe and Graphframes
Book Details
Format
Paperback / Softback
ISBN-10
148424334X
ISBN-13
9781484243343
Publisher
APress
Imprint
APress
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Mar 19th, 2019
Print length
323 Pages
Weight
518 grams
Dimensions
15.60 x 23.20 x 2.30 cms
Product Classification:
Programming & scripting languages: generalSQL Server / MS SQL
Ksh 8,100.00
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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.
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.
Get PySpark SQL Recipes by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by APress and it has pages.
