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Introducing .Net for Apache Spark distributed processing for massive datasets

Get started using Apache Spark via C# or F♯ and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets....

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Bibliographic Details
Main Author: Elliott, Ed
Format: eBook
Language:English
Published: [Berkeley] Apress 2021
Subjects:
Big Data / Fast
Traitement Réparti
Spark (electronic Resource : Apache Software Foundation) / Fast
Microsoft .net Framework / Http://id.loc.gov/authorities/names/n2017043838
Big Data / Http://id.loc.gov/authorities/subjects/sh2012003227
Electronic Data Processing / Distributed Processing / Fast
Spark (electronic Resource : Apache Software Foundation) / Http://id.loc.gov/authorities/names/no2015027445
Données Volumineuses
Microsoft .net Framework / Fast
Electronic Data Processing / Distributed Processing / Http://id.loc.gov/authorities/subjects/sh85042293
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • 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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