Cookie Control

This site uses cookies to store information on your computer.

Some cookies on this site are essential, and the site won't work as expected without them. These cookies are set when you submit a form, login or interact with the site by doing something that goes beyond clicking on simple links.

By using our site you accept the terms of our Privacy Policy.

(One cookie will be set to store your preference)
(Ticking this sets a cookie to hide this popup if you then hit close. This will not store any personal information)

About this tool

About Cookie Control

You are here

Historical Interest Only

This is a static HTML version of an old Drupal site. The site is no longer maintained and could be deleted at any point. It is only here for historical interest.

The Data-Intensive Survival Guide

TitleThe Data-Intensive Survival Guide
Publication TypeBook Chapter
2013
AuthorsAtkinson, M
EditorAtkinson, M, Baxter, R, Brezany, P, Corcho, O, Galea, M, Parsons, M, Snelling, D, van Hemert, J
PublisherJohn Wiley & Sons Ltd.
Pages37-60
Chapter3
ISBNISBN 9781118398647
Data-Analysis Experts; Data-Intensive Architecture; Data-intensive Computing; Data-Intensive Engineers; Datascopes; Dispel; Domain Experts; Intellectual Ramps; Knowledge Discovery; Workflows

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.