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" PySpark SQL Recipes : "
Raju Kumar Mishra and Sundar Rajan Raman.
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BL
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| Record Number
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851265
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| Main Entry
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Mishra, Raju Kumar
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| Title & Author
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PySpark SQL Recipes : : with HiveQL, Dataframe and Graphframes /\ Raju Kumar Mishra and Sundar Rajan Raman.
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| Publication Statement
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[Berkeley, California] :: Apress,, [2019]
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1 online resource
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| ISBN
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1484243358
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: 1484243366
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: 9781484243350
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: 9781484243367
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148424334X
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9781484243343
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| Contents
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Introduction to PySpark SQL -- Installation -- 10 in PySpark SQL -- Operations on PySpark SQL DataFrames -- Data merging and data aggregation using PySparkSQL -- SQL, NoSQL, and PySparkSQL -- Optimizing PySpark SQL -- Structured streaming -- GraphFrames.
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| Abstract
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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.
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| Subject
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Big data.
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Python (Computer program language)
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SPARK (Computer program language)
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Big data.
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COMPUTERS-- General.
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Python (Computer program language)
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SPARK (Computer program language)
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| Dewey Classification
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005.13/3
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| LC Classification
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QA76.73.P98
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| Added Entry
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Raman, Sundar Rajan
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