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Introducing .NET for Apache Sparkdis...
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Elliott, Ed.
Introducing .NET for Apache Sparkdistributed processing for massive datasets /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Introducing .NET for Apache Sparkby 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.
Contained By:
Springer Nature eBook
Subject:
Electronic data processingDistributed processing.
Online resource:
https://doi.org/10.1007/978-1-4842-6992-3
ISBN:
9781484269923$q(electronic bk.)
Introducing .NET for Apache Sparkdistributed processing for massive datasets /
Elliott, Ed.
Introducing .NET for Apache Spark
distributed processing for massive datasets /[electronic resource] :by Ed Elliott. - Berkeley, CA :Apress :2021. - xv, 262 p. :ill., digital ;24 cm.
Part I. Getting Started -- 1. Understanding Apache Spark -- 2. Setting up Spark -- 3 -- Programming with .NET for Apache Spark -- Part II. The APIs -- 4. User-Defined Functions -- 5. The DataFrame API -- 6. Spark SQL and Hive Tables -- 7. Spark Machine Learning API -- Part III. Examples -- 8. Batch Mode Processing -- 9. Structured Streaming -- 10. Troubleshooting -- 11. Delta Lake -- Part IV. Appendices -- Appendix A. Running in the Cloud -- Appendix B. Implementing .NET for Apache Spark Code.
ISBN: 9781484269923$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-6992-3doiSubjects--Uniform Titles:
Spark (Electronic resource : Apache Software Foundation)
Subjects--Topical Terms:
182427
Electronic data processing
--Distributed processing.
LC Class. No.: QA76.9.D5 / E455 2021
Dewey Class. No.: 004.36
Introducing .NET for Apache Sparkdistributed processing for massive datasets /
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by Ed Elliott.
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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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based on 0 review(s)
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EB QA76.9.D5 E46 2021 2021
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https://doi.org/10.1007/978-1-4842-6992-3
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