Book description
- 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
Table of contents
- Cover
- Frontmatter
- 1. Haskell Foundations. General Introductory Notions
-
2. Haskell for Big Data and Cloud Computing
- 9. Haskell in the Cloud
- 10. Haskell in Big Data
- 11. Concurrency Design Patterns
- 12. Large-Scale Design in Haskell
- 13. Designing a Shared Memory Approach for Hadoop Streaming Performance
- 14. Interactive Debugger for Development and Portability Applications Based on Big Data
- 15. Iterative Data Processing on Big Data
- 16. MapReduce
- 17. Big Data and Large Clusters
- Backmatter
Product information
- Title: Practical Concurrent Haskell: With Big Data Applications
- Author(s):
- Release date: September 2017
- Publisher(s): Apress
- ISBN: 9781484227817
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