The Definitive Guide to Unstructured Data Management and Analysis--From the World’s Leading Information Management Expert A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it. This is changing rapidly: new approaches finally make it possible to glean useful knowledge from virtually any collection of unstructured data. William H. Inmon--the father of data warehousing--and Anthony Nesavich introduce the next data revolution: unstructured data management. Inmon and Nesavich cover all you need to know to make unstructured data work for your organization. You’ll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Inmon and Nesavich introduce breakthrough techniques covered in no other book--including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analyzing text. They also present five chapter-length, real-world case studies--demonstrating unstructured data at work in medical research, insurance, chemical manufacturing, contracting, and beyond. This book will be indispensable to every business and technical professional trying to make sense of a large body of unstructured text: managers, database designers, data modelers, DBAs, researchers, and end users alike. Coverage includes What unstructured data is, and how it differs from structured data First generation technology for handling unstructured data, from search engines to ECM--and its limitations Integrating text so it can be analyzed with a common, colloquial vocabulary: integration engines, ontologies, glossaries, and taxonomies Processing semistructured data: uncovering patterns, words, identifiers, and conflicts Novel processing opportunities that arise when text is freed from context Architecture and unstructured data: Data Warehousing 2.0 Building unstructured relational databases and linking them to structured data Visualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutions Capturing knowledge from spreadsheet data and email Implementing and managing metadata: data models, data quality, and more
Preventing Litigation, for the first time, explains how to build an early warning system to identify the risk of litigation before the damage is done, and proves that there is big value in less litigation. This book puts everyone where they should be: at the top of the cliff. The authors are subject matter experts, one in litigation, the other in computer science, and each has more than four decades of training and experience in their respective fields. Together, they present a way forward to a transformative revolution for the slow-moving world of law for the benefit of the fast-paced environment of the business world. Any business adopting the teachings of this pioneering, game-changing book will have a competitive advantage.
William Giovinazzo gives experienced database professionals practical guidance for every aspect of planning and deploying Web-based data warehouses -- and leveraging them for competitive advantage. Unlike previous books, The Web-Enabled Data Warehouse covers all the enabling technologies and analysis approaches you need to know about -- from XML to CRM, Java to customer profiling. Giovinazzo begins by introducing the compelling advantages of integrating business intelligence and data warehouses with Web technology. He reviews the business and technical contexts in which the Web-enabled data warehouse will operate; shows how to build and optimize data warehouse infrastructure, and presents in-depth coverage of key enabling technologies -- including Java, XML and XSL, LDAP directories, and WAP wireless development environments. In the book's final section, Giovinazzo introduces and explains powerful new analysis techniques that can dramatically improve your understanding of customers -- and shows how to integrate data warehouses with CRM and other enterprise systems so you can act on your knowledge far more quickly and efficiently. For every experienced database professional seeking to understand or deploy Web-based data warehouses.
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