Data-Intensive Thinking with DISPEL

Malcolm Atkinson

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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 languageEnglish
Title of host publicationTHE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business
EditorsMalcolm Atkinson, Rob Baxter, Peter Brezany, Oscar Corcho, Michelle Galea, Mark Parsons, David Snelling, Jano van Hemert
PublisherJohn Wiley & Sons Inc.
Pages61-122
Number of pages62
ISBN (Print)9781118398647
Publication statusPublished - 2013

Keywords

  • Data-Intensive Machines, Data-Intensive Thinking, Data-intensive Computing, Dispel, Distributed Computing, Knowledge Discovery

Fingerprint

Dive into the research topics of 'Data-Intensive Thinking with DISPEL'. Together they form a unique fingerprint.

Cite this