Practical Concurrent Haskell: With Big Data Applications (Paperback)

PART 1 - HASKELL FOUNDATIONS. GENERAL INTRODUCTORY NOTIONS Chapter 1. Introduction Chapter 2. Programming with Haskell Chapter 3. Parallelism and Concurrent with Haskell Chapter 4. Strategies used in Evaluation Process Chapter 5. Exceptions for Input/Output Chapter 6. Cancellation Chapter 7. Transactional Memory Case Studies Chapter 8. Debugging Techniques for Big Data PART 2 - HASKELL FOR BIG DATA AND CLOUD COMPUTING Chapter 9. Towards Haskell in Cloud Chapter 10. Towards Haskell in Big Data Chapter 11. Concurrency Design Patterns Chapter 12. Large-scale Design in Haskell Chapter 13. Designing Shared Memory Approach for Hadoop Streaming Performance Chapter 14. Interactive Debugger for Development and Portability Applications based on Big Data Chapter 15. Iterative Data Processing on Big Data Chapter 16. MapReduce Chapter 17. Big Data and Large Clusters