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.NET Design Patterns

You're reading from   .NET Design Patterns Learn to Apply Patterns in daily development tasks under .NET Platform to take your productivity to new heights.

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786466150
Length 314 pages
Edition 1st Edition
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Authors (2):
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Praseed Pai Praseed Pai
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Praseed Pai
Shine Xavier Shine Xavier
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Shine Xavier
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Table of Contents (15) Chapters Close

Preface 1. An Introduction to Patterns and Pattern Catalogs FREE CHAPTER 2. Why We Need Design Patterns? 3. A Logging Library 4. Targeting Multiple Databases 5. Producing Tabular Reports 6. Plotting Mathematical Expressions 7. Patterns in the .NET Base Class Library 8. Concurrent and Parallel Programming under .NET 9. Functional Programming Techniques for Better State Management 10. Pattern Implementation Using Object/Functional Programming 11. What is Reactive Programming? 12. Reactive Programming Using .NET Rx Extensions 13. Reactive Programming Using RxJS 14. A Road Ahead

MapReduce programming idiom

In the FP world, MapReduce is considered as a programming idiom.

Note

The process of mapping can be described as the application of a function or computation on each element of a sequence to produce a new sequence. Reduction gathers computed elements to produce the result of a process, algorithm, or a functional transformation.

In 2003, two Google engineers (Sanjay Ghemawat and Jeff Dean) published a paper about how the company used the MapReduce programming model to simplify their distributed programming tasks. The paper entitled MapReduce: Simplified Data Processing on Large Clusters is available on the public domain. This particular paper was very influential, and the Hadoop distributed programming model was based on the ideas outlined in the paper. You can search the Internet to find the details of the paper and the origin of the Hadoop data operating system.

To reduce the complexity, we are going to implement a MapReduce function to apply the computation...

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