PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes
148424334X
9781484243343
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.\nPySpark 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.\nOn 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.\nWhat You Will Learn\nUnderstand 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\nWho This Book Is For\nData scientists, Python programmers, and SQL programmers.\nFrom the Back Cover\nCarry 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.\nPySpark 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.\nOn 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.\nYou will:\nUnderstand 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
Best prices to buy, sell, or rent ISBN 9781484243343
Frequently Asked Questions about PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes
The price for the book starts from $36.24 on Amazon and is available from 18 sellers at the moment.
If you’re interested in selling back the PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes book, the best buyback offer comes from and is $ for the book in good condition.
The PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes book is in very low demand now as the rank for the book is 4,755,953 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
Not enough insights yet.