Practical Concurrent Haskell

With Big Data Applications de

,

Éditeur :

Apress


Paru le : 2017-09-14

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Description


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 dataprocessing 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++.

Pages
266 pages
Collection
n.c
Parution
2017-09-14
Marque
Apress
EAN papier
9781484227800
EAN PDF
9781484227817

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
3840 Ko
Prix
62,11 €
EAN EPUB
9781484227817

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
1004 Ko
Prix
62,11 €

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