Malcolm Atkinson – författare

Complete guidance for mastering the tools and techniques of the digital revolutionWith 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 organizationsCovers from the ground up problem-solving strategies for data analysis in a data-rich worldIntroduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPELFeatures in-depth case studies in customer relations, environmental hazards, seismology, and moreShowcases successful applications in areas ranging from astronomy and the humanities to transport engineeringIncludes sample program snippets throughout the text as well as additional materials on a companion websiteThe 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.

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.

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.

The Sixth International Workshop on Persistent Object Systems was held at Les Mazets des Roches near Tarascon, Provence in southern France from the fifth to the ninth of September 1994. The attractive context and autumn warmth greeted the 53 participants from 12 countries spread over five continents. Persistent object systems continue to grow in importance. Almost all significant uses of computers to support human endeavours depend on long-lived and large-scale systems. As expectations and ambitions rise so the sophistication of the systems we attempt to build also rises. The quality and integrity of the systems and their feasibility for supporting large groups of co-operating people depends on their technical founda­ tion. Persistent object systems are being developed which provide a more robust and yet simpler foundation for these persistent applications. The workshop followed the tradition of the previous workshops in the series, focusing on the design, implementation and use of persistent object systems in particular and persistent systems in general. There were clear signs that this line of research is maturing, as engineering issues were discussed with the aid of evidence from operational systems. The work presented covered the complete range of database facilities: transactions, concurrency, distribution, integrity and schema modifica­ tion. There were examples of very large scale use, one involving tens of terabytes of data. Language issues, particularly the provision of reflection, continued to be important.