Description: Title: Pyspark SQL Recipes: With Hiveql, Dataframe and Graphframes Author: Mishra, Raju Kumar Publisher: Apress Binding: Paperback Pages: 323 Dimensions: 9.21h x 6.14w x 0.72d Product Weight: 1.07 lbs. Language: English ISBN: 9781484243343 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. Ships Fast From The USA! Authorized Dealer
Price: 49.99 USD
Location: Tennessee
End Time: 2024-12-02T01:03:23.000Z
Shipping Cost: 9.95 USD
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Book Title: Apress
Number of Pages: Xxiv, 323 Pages
Publication Name: Pyspark Sql Recipes : with Hiveql, Dataframe and Graphframes
Language: English
Publisher: Apress L. P.
Subject: Probability & Statistics / General, Programming / Open Source, Programming Languages / Sql, Databases / General, Programming Languages / Python
Publication Year: 2019
Type: Textbook
Item Weight: 18.8 Oz
Item Length: 9.3 in
Author: Raju Kumar Mishra
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Format: Trade Paperback
