TY - BOOK T1 - The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business T2 - Wiley Series on Parallel and Distributed Computing (Editor: Albert Y. Zomaya) Y1 - 2013 A1 - Atkinson, Malcolm P. A1 - Baxter, Robert M. A1 - Peter Brezany A1 - Oscar Corcho A1 - Michelle Galea A1 - Parsons, Mark A1 - Snelling, David A1 - van Hemert, Jano KW - Big Data KW - Data Intensive KW - data mining KW - Data Streaming KW - Databases KW - Dispel KW - Distributed Computing KW - Knowledge Discovery KW - Workflows AB - 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. Emphasising 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 organisations * 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. JF - Wiley Series on Parallel and Distributed Computing (Editor: Albert Y. Zomaya) PB - John Wiley & Sons Inc. SN - 978-1-118-39864-7 ER - 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 -