Pyspark SQL Recipes : With Hiveql, Dataframe and Graphframes, Paperback by Mi...

Description: Pyspark SQL Recipes : With Hiveql, Dataframe and Graphframes, Paperback by Mishra, Raju Kumar, ISBN 148424334X, ISBN-13 9781484243343, Like New Used, Free P&P in the UK

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.

Price: 43.95 GBP

Location: Castle Donington

End Time: 2024-10-01T10:36:33.000Z

Shipping Cost: 21.24 GBP

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Pyspark SQL Recipes : With Hiveql, Dataframe and Graphframes, Paperback by Mi...

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Return postage will be paid by: Buyer

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After receiving the item, your buyer should cancel the purchase within: 30 days

Book Title: Pyspark SQL Recipes : With Hiveql, Dataframe and Graphframes

Number of Pages: 323 Pages

Language: English

Publication Name: Pyspark Sql Recipes: with Hiveql, Dataframe and Graphframes

Publisher: Apress

Publication Year: 2019

Subject: Computer Science

Item Height: 235 mm

Item Weight: 534 g

Type: Textbook

Author: Raju Kumar Mishra, Sundar Rajan Raman

Item Width: 155 mm

Format: Paperback

Pyspark SQL Recipes : With Hiveql, Dataframe and Graphframes, Paperback by Mi...

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Item Specifics

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