10% de desconto

Practical Concurrent Haskell eBook

With Big Data Applications

de Stefania Loredana Nita e Marius Mihailescu
idioma: inglês
Editor: Apress, setembro de 2017 ‧
72,86€
10% DESCONTO CARTÃO
DISPONIBILIDADE IMEDIATA
Ebook para ADE
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++.

Practical Concurrent Haskell

With Big Data Applications

de Stefania Loredana Nita e Marius Mihailescu

Propriedade Descrição
ISBN: 9781484227817
Editor: Apress
Data de Lançamento: setembro de 2017
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade:
Coleção: Professional And Applied Computing
Classificação Temática: eBooks em Inglês > Informática > Outras Aplicações
eBooks em Inglês > Informática > Programação
EAN: 9781484227817
Acessibilidade: Ver características de acessibilidade indicadas pelo editor