PySpark Recipes
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Published By Apress

9781484231401, 9781484231418

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The Power of Pairs: Paired RDDs

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_5 ◽

2017 ◽

pp. 115-136

Author(s):

Raju Kumar Mishra

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The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_1 ◽

2017 ◽

pp. 1-14

Author(s):

Raju Kumar Mishra

Keyword(s):

Big Data ◽

Data Processing ◽

Big Data Processing

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PySpark MLlib and Linear Regression

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_9 ◽

2017 ◽

pp. 235-259

Author(s):

Raju Kumar Mishra

Keyword(s):

Linear Regression

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PySparkSQL

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_8 ◽

2017 ◽

pp. 187-233

Author(s):

Raju Kumar Mishra

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I/O in PySpark

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_6 ◽

2017 ◽

pp. 137-161

Author(s):

Raju Kumar Mishra

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Optimizing PySpark and PySpark Streaming

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_7 ◽

2017 ◽

pp. 163-185

Author(s):

Raju Kumar Mishra

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Introduction to Python and NumPy

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_3 ◽

2017 ◽

pp. 45-83

Author(s):

Raju Kumar Mishra

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Spark Architecture and the Resilient Distributed Dataset

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_4 ◽

2017 ◽

pp. 85-114

Author(s):

Raju Kumar Mishra

Keyword(s):

Resilient Distributed Dataset

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Installation

PySpark Recipes ◽

10.1007/978-1-4842-3141-8_2 ◽

2017 ◽

pp. 15-44

Author(s):

Raju Kumar Mishra

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