Abstract / Description of output
Chapter 4: "Data-intensive thinking with DISPEL", engages the reader with technical issues and solutions, by working through a sequence of examples, building up from a sketch of a solution to a large-scale data challenge. It uses the DISPEL language extensively, introducing its concepts and constructs. It shows how DISPEL may help designers, data-analysts, and engineers develop solutions to the requirements emerging in any data-intensive application domain. The reader is taken through simple steps initially, this then builds to conceptually complex steps that are necessary to cope with the realities of real data providers, real data, real distributed systems, and long-running processes.
| Original language | English |
|---|---|
| Title of host publication | THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business |
| Editors | Malcolm Atkinson, Rob Baxter, Peter Brezany, Oscar Corcho, Michelle Galea, Mark Parsons, David Snelling, Jano van Hemert |
| Publisher | Wiley |
| Pages | 61-122 |
| Number of pages | 62 |
| ISBN (Print) | 9781118398647 |
| Publication status | Published - 2013 |
Keywords / Materials (for Non-textual outputs)
- Data-Intensive Machines, Data-Intensive Thinking, Data-intensive Computing, Dispel, Distributed Computing, Knowledge Discovery