Practical Concurrent Haskell

With Big Data Applications

Nonfiction, Computers, Programming, Programming Languages, General Computing
Cover of the book Practical Concurrent Haskell by Marius Mihailescu, Stefania Loredana Nita, Apress
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Author: Marius Mihailescu, Stefania Loredana Nita ISBN: 9781484227817
Publisher: Apress Publication: September 14, 2017
Imprint: Apress Language: English
Author: Marius Mihailescu, Stefania Loredana Nita
ISBN: 9781484227817
Publisher: Apress
Publication: September 14, 2017
Imprint: Apress
Language: English

Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. 

Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data.  You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development.  

What You'll Learn

  • Program with Haskell

  • Harness concurrency to Haskell

  • Apply Haskell to big data and cloud computing applications

  • Use Haskell concurrency design patterns in big data

  • Accomplish iterative data processing on big data using Haskell

  • Use MapReduce and work with Haskell on large clusters

Who This Book Is For

Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. 

Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data.  You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development.  

What You'll Learn

Who This Book Is For

Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.

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