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Author Mishra, Raju Kumar, author.

Title PySpark recipes : a problem-solution approach with PySpark2 / Raju Kumar Mishra.

Publication Info. [United States] : Apress, [2018]
2018

Copies

Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Note Includes index.
Online resource; title from PDF title page (SpringerLink, viewed December 20, 2017).
Contents Chapter 1: The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks -- Chapter 2: Installation -- Chapter 3: Introduction to Python and NumPy -- Chapter 4: Spark Architecture and Resilient Distributed Dataset -- Chapter 5: The Power of Pairs: Paired RDD -- Chapter 6: IO in PySpark -- Chapter 7: Optimizing PySpark and PySpark Streaming -- Chapter 8: PySparkSQL -- Chapter 9: PySpark MLlib and Linear Regression.
Summary Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved! PySpark Recipes covers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand and adopt the model. What You Will Learn: Understand the advanced features of PySpark and SparkSQL Optimize your code Program SparkSQL with Python Use Spark Streaming and Spark MLlib with Python Perform graph analysis with GraphFrames.
Subject Python (Computer program language)
SPARK (Computer program language)
COMPUTERS -- Programming Languages -- General.
Python (Computer program language) (OCoLC)fst01084736
SPARK (Computer program language) (OCoLC)fst01922197
Computer Science.
Big Data.
Programming Techniques.
Programming Languages, Compilers, Interpreters.
Data Mining and Knowledge Discovery.
Computer programming / software development.
Programming & scripting languages: general.
Data mining.
Databases.
Genre/Form Electronic books.
Electronic book.
Other Form: Print version: Mishra, Raju Kumar. PySpark recipes. [United States] : Apress, [2018] 1484231406 9781484231401 (OCoLC)1004042658
ISBN 9781484231418 (electronic bk.)
1484231414 (electronic bk.)
9781484231401 (print)
1484231406
Standard No. 10.1007/978-1-4842-3141-8 doi
AU@ 000061389527
GBVCP 1014936136
UKMGB 019183814

 
    
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