(Wiley Series on Parallel and Distributed Computing Book 90)
by Malcolm Atkinson (Editor), Rob Baxter (Editor), Peter Brezany (Editor), Oscar Corcho (Editor), Michelle Galea (Editor), Mark Parsons (Editor), David Snelling (Editor), Jano van Hemert (Editor)
Complete guidance for mastering the tools and techniques of the digital revolution
With
the digital revolution opening up tremendous opportunities in many
fields, there is a growing need for skilled professionals who can
develop data-intensive systems and extract information and knowledge
from them. This book frames for the first time a new systematic approach
for tackling the challenges of data-intensive computing, providing
decision makers and technical experts alike with practical tools for
dealing with our exploding data collections.
Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business
examines the essential components of knowledge discovery, surveys many
of the current research efforts worldwide, and points to new areas for
innovation. Complete with a wealth of examples and DISPEL-based methods
demonstrating how to gain more from data in real-world systems, the
book:
- Outlines the concepts and rationale for implementing data-intensive computing in organizations
- Covers from the ground up problem-solving strategies for data analysis in a data-rich world
- Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL
- Features in-depth case studies in customer relations, environmental hazards, seismology, and more
- Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering
The Data Bonanza
is a must-have guide for information strategists, data analysts, and
engineers in business, research, and government, and for anyone wishing
to be on the cutting edge of data mining, machine learning, databases,
distributed systems, or large-scale computing.
