Practical Concurrent Haskell

With Big Data Applications

Authors: Nita, Stefania Loredana, Mihailescu, Marius

  • Learn how to apply Haskell to big data and cloud computing applications
  • Perform iterative data processing using Haskell
  • Exploit multicore processors with the help of parallelism
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Buy this book

eBook $34.99
price for USA in USD (gross)
  • ISBN 978-1-4842-2781-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $44.99
price for USA in USD
  • ISBN 978-1-4842-2780-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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++.

About the authors

Stefania Loredana Nita holds two B.Sc., one in Mathematics (2013) and one in Computer Science (2016) from the University of Bucharest, Faculty of Mathematics and Computer Science; she received her M.Sc. in Software Engineering (2016) from University of Bucharest, faculty of Mathematics and Computer Science. She has worked as developer for an insurance company (Gothaer Insurance), and as a teacher of Mathematics and Computer Science in private centers of educations. Currently, she is Ph.D. student in Computer Science (from 2016) at Faculty of Mathematics and Computer Science from University of Bucharest. Also, she is teaching assistant at the same university and works since 2015 as researcher and developer at Institute for Computers, Bucharest, Romania. Her domains of interest are cryptography applied in cloud computing and big data, parallel computing and distributed systems, software engineering.

Marius Mihailescu received his B.Sc. in Science and Information Technology (2008) and B.Eng. in Computer Engineering (2009) from the University of Southern Denmark; he holds two M.Sc., one in Software Engineering (2010) from the University of Bucharest and the second one in Information Security Technology (2011) from the Military Technical Academy. His Ph.D. is in Computer Science (2015) from the University of Bucharest, Romania with a thesis on security of biometrics authentication protocols.  From 2005 to 2011 he worked as a software developer and researcher for different well-known companies (Softwin, NetBridge Investments, Declic) from Bucharest, Romania (software and web development, business analysis, parallel computing, cryptography researching, distributed systems). Starting in 2012 until 2015 he has been an assistant in the Informatics department, University of Titu Maiorescu and Computer Science department, University of Bucharest. Since 2015, he is a lecturer at the University of South-East Lumina.

Table of contents (17 chapters)

  • Introduction

    Nita, Stefania Loredana (et al.)

    Pages 3-11

  • Programming with Haskell

    Nita, Stefania Loredana (et al.)

    Pages 13-46

  • Parallelism and Concurrency with Haskell

    Nita, Stefania Loredana (et al.)

    Pages 47-65

  • Strategies Used in the Evaluation Process

    Nita, Stefania Loredana (et al.)

    Pages 67-76

  • Exceptions

    Nita, Stefania Loredana (et al.)

    Pages 77-86

Buy this book

eBook $34.99
price for USA in USD (gross)
  • ISBN 978-1-4842-2781-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $44.99
price for USA in USD
  • ISBN 978-1-4842-2780-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Practical Concurrent Haskell
Book Subtitle
With Big Data Applications
Authors
Copyright
2017
Publisher
Apress
Copyright Holder
Stefania Loredana Nita and Marius Mihailescu
Distribution Rights
Standard Apress distribution
eBook ISBN
978-1-4842-2781-7
DOI
10.1007/978-1-4842-2781-7
Softcover ISBN
978-1-4842-2780-0
Edition Number
1
Number of Pages
XV, 266
Number of Illustrations and Tables
7 b/w illustrations, 19 illustrations in colour
Topics