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
* Includes sample program snippets throughout the text as well as
additional materials on a companion website
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.
Tentang Penulis
MALCOLM ATKINSON, Ph D, is Professor of e-Science in the
School of Informatics at the University of Edinburgh in Scotland.
He is also Data-Intensive Research Group leader, Director of the
e-Science Institute, IT architect for the ADMIRE and VERCE EU
projects and UK e-Science Envoy. Professor Atkinson has been
leading research projects for several decades and served on many
advisory bodies.
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