The Data Bonanza

Beschreibung

Complete guidance for mastering the tools and techniques ofthe digital revolution With the digital revolution opening up tremendous opportunitiesin many fields, there is a growing need for skilled professionalswho can develop data-intensive systems and extract information andknowledge from them. This book frames for the first time a newsystematic approach for tackling the challenges of data-intensivecomputing, providing decision makers and technical experts alikewith practical tools for dealing with our exploding datacollections. Emphasizing data-intensive thinking and interdisciplinarycollaboration, The Data Bonanza: Improving Knowledge Discoveryin Science, Engineering, and Business examines the essentialcomponents of knowledge discovery, surveys many of the currentresearch efforts worldwide, and points to new areas for innovation.Complete with a wealth of examples and DISPEL-based methodsdemonstrating how to gain more from data in real-world systems, thebook: * Outlines the concepts and rationale for implementingdata-intensive computing in organizations * Covers from the ground up problem-solving strategies for dataanalysis in a data-rich world * Introduces techniques for data-intensive engineering using theData-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 fromastronomy and the humanities to transport engineering * Includes sample program snippets throughout the text as well asadditional materials on a companion website The Data Bonanza is a must-have guide for informationstrategists, data analysts, and engineers in business, research,and government, and for anyone wishing to be on the cutting edge ofdata mining, machine learning, databases, distributed systems, orlarge-scale computing.

Autor*in

Malcolm Atkinson

Themen in »The Data Bonanza«

Business Data Processing Computer Science Data Mining Data Mining Statistics Database & Data Warehousing Technologies Datenbanken u. Data Warehousing Informatik Statistics Statistik Wirtschaftsinformatik

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