Description: PySpark SQL Recipes Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). With HiveQL, Dataframe and Graphframes Author(s): Raju Kumar Mishra, Sundar Rajan Raman Format: Paperback Publisher: APress, United States Imprint: APress ISBN-13: 9781484243343, 978-1484243343 Synopsis 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 ForData scientists, Python programmers, and SQL programmers.
Price: 29.94 GBP
Location: Aldershot
End Time: 2024-10-07T11:02:20.000Z
Shipping Cost: 29.31 GBP
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Book Title: PySpark SQL Recipes
Item Height: 235 mm
Item Width: 155 mm
Author: Raju Kumar Mishra, Sundar Rajan Raman
Publication Name: Pyspark Sql Recipes: with Hiveql, Dataframe and Graphframes
Format: Paperback
Language: English
Publisher: Apress
Subject: Computer Science
Publication Year: 2019
Type: Textbook
Item Weight: 534 g
Number of Pages: 323 Pages
