TY  - CHAP
T1  - The Data-Intensive Survival Guide
T2  - THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business
Y1  - 2013
A1  - Malcolm Atkinson
ED  - Malcolm Atkinson
ED  - Rob Baxter
ED  - Peter Brezany
ED  - Oscar Corcho
ED  - Michelle Galea
ED  - Parsons, Mark
ED  - Snelling, David
ED  - van Hemert, Jano
KW  - Data-Analysis Experts
KW  - Data-Intensive Architecture
KW  - Data-intensive Computing
KW  - Data-Intensive Engineers
KW  - Datascopes
KW  - Dispel
KW  - Domain Experts
KW  - Intellectual Ramps
KW  - Knowledge Discovery
KW  - Workflows
AB  - Chapter 3: "The data-intensive survival guide", presents an overview of all of the elements of the proposed data-intensive strategy. Sufficient detail is presented for readers to understand the principles and practice that we recommend. It should also provide a good preparation for readers who choose to sample later chapters. It introduces three professional viewpoints: domain experts, data-analysis experts, and data-intensive engineers. Success depends on a balanced approach that develops the capacity of all three groups. A data-intensive architecture provides a flexible framework for that balanced approach. This enables the three groups to build and exploit data-intensive processes that incrementally step from data to results. A language is introduced to describe these incremental data processes from all three points of view. The chapter introduces ‘datascopes’ as the productized data-handling environments and ‘intellectual ramps’ as the ‘on ramps’  for the highways from data to knowledge.
JF  - THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business
PB  - John Wiley & Sons Ltd.
ER  -