PySpark Recipes: A Problem-Solution Approach with PySpark2
Author:   Raju Kumar Mishra
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484231401


Pages:   265
Publication Date:   10 December 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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PySpark Recipes: A Problem-Solution Approach with PySpark2


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Author:   Raju Kumar Mishra
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   4.453kg
ISBN:  

9781484231401


ISBN 10:   1484231406
Pages:   265
Publication Date:   10 December 2017
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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.

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Author Information

Raju Mishra has strong interests in data science and systems that have the capability of handling large amounts of data and operating complex mathematical models through computational programming. He was inspired to pursue an M. Tech in computational sciences from Indian Institute of Science in Bangalore, India. Raju primarily works in the areas of data science and its different applications. Working as a corporate trainer he has developed unique insights that help him in teaching and explaining complex ideas with ease. Raju is also a data science consultant solving complex industrial problems. He works on programming tools such as R, Python, scikit-learn, Statsmodels, Hadoop, Hive, Pig, Spark, and many others.

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