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Introducing .NET for Apache Spark = ...

Elliott, Ed.

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Introducing .NET for Apache Spark = distributed processing for massive datasets /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introducing .NET for Apache Spark/ by Ed Elliott.
Reminder of title:	distributed processing for massive datasets /
Author:	Elliott, Ed.
Published:	Berkeley, CA :Apress : : 2021.,
Description:	xv, 262 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I. Getting Started -- 1. Understanding Apache Spark -- 2. Setting up Spark -- 3 -- Programming with .NET for Apache Spark -- Part II. The APIs -- 4. User-Defined Functions -- 5. The DataFrame API -- 6. Spark SQL and Hive Tables -- 7. Spark Machine Learning API -- Part III. Examples -- 8. Batch Mode Processing -- 9. Structured Streaming -- 10. Troubleshooting -- 11. Delta Lake -- Part IV. Appendices -- Appendix A. Running in the Cloud -- Appendix B. Implementing .NET for Apache Spark Code.
Contained By:	Springer Nature eBook
Subject:	Electronic data processing - Distributed processing. -
Online resource:	https://doi.org/10.1007/978-1-4842-6992-3
ISBN:	9781484269923

Introducing .NET for Apache Spark = distributed processing for massive datasets /
Elliott, Ed.

Introducing .NET for Apache Sparkdistributed processing for massive datasets /[electronic resource] :by Ed Elliott. - Berkeley, CA :Apress :2021. - xv, 262 p. :ill., digital ;24 cm.

Part I. Getting Started -- 1. Understanding Apache Spark -- 2. Setting up Spark -- 3 -- Programming with .NET for Apache Spark -- Part II. The APIs -- 4. User-Defined Functions -- 5. The DataFrame API -- 6. Spark SQL and Hive Tables -- 7. Spark Machine Learning API -- Part III. Examples -- 8. Batch Mode Processing -- 9. Structured Streaming -- 10. Troubleshooting -- 11. Delta Lake -- Part IV. Appendices -- Appendix A. Running in the Cloud -- Appendix B. Implementing .NET for Apache Spark Code.

ISBN: 9781484269923

Standard No.: 10.1007/978-1-4842-6992-3doiSubjects--Uniform Titles:

Spark (Electronic resource : Apache Software Foundation)
Subjects--Topical Terms:

548601
Electronic data processing
--Distributed processing.

LC Class. No.: QA76.9.D5 / E455 2021

Dewey Class. No.: 004.36

Introducing .NET for Apache Spark = distributed processing for massive datasets /
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245 1 0 $a Introducing .NET for Apache Spark $h [electronic resource] : $b distributed processing for massive datasets / $c by Ed Elliott.
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300 $a xv, 262 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I. Getting Started -- 1. Understanding Apache Spark -- 2. Setting up Spark -- 3 -- Programming with .NET for Apache Spark -- Part II. The APIs -- 4. User-Defined Functions -- 5. The DataFrame API -- 6. Spark SQL and Hive Tables -- 7. Spark Machine Learning API -- Part III. Examples -- 8. Batch Mode Processing -- 9. Structured Streaming -- 10. Troubleshooting -- 11. Delta Lake -- Part IV. Appendices -- Appendix A. Running in the Cloud -- Appendix B. Implementing .NET for Apache Spark Code.
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