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2. Haskell for Big Data and Cloud Computing
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2. Haskell for Big Data and Cloud Computing
by Marius Mihailescu, Stefania Loredana Nita
Practical Concurrent Haskell: With Big Data Applications
Cover
Frontmatter
1. Haskell Foundations. General Introductory Notions
1. Introduction
2. Programming with Haskell
3. Parallelism and Concurrency with Haskell
4. Strategies Used in the Evaluation Process
5. Exceptions
6. Cancellation
7. Transactional Memory Case Studies
8. Debugging Techniques Used in Big Data
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
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8. Debugging Techniques Used in Big Data
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9. Haskell in the Cloud
Part II
Haskell for Big Data and Cloud Computing
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