Tapping Into Unstructured Data: Integrating Unstructured Data and Textual Analytics Into Business Intelligence

by William H. Inmon, Anthony Nesavich

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 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 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 managers, database designers, data modelers, DBAs, researchers, and end users alike. Coverage includes What unstructured data is, and how it differs from structured dataFirst generation technology for handling unstructured data, from search engines to ECM--and its limitationsIntegrating text so it can be analyzed with a common, colloquial integration engines, ontologies, glossaries, and taxonomiesProcessing semistructured uncovering patterns, words, identifiers, and conflictsNovel processing opportunities that arise when text is freed from contextArchitecture and unstructured Data Warehousing 2.0Building unstructured relational databases and linking them to structured dataVisualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutionsCapturing knowledge from spreadsheet data and emailImplementing and managing data models, data quality, and more

288 pages, Kindle Edition

First published December 11, 2007

About the author

William H. Inmon is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject-oriented, non-volatile, integrated, time-variant collection of data in support of management's decisions. Compared with the approach of the other pioneering architect of data warehousing, Ralph Kimball, Inmon's approach is often characterized as a top-down approach.

source: Wikipedia

Reviews

[Tom Kamei · Rating 4 out of 5]

For those thinking about Big Data - 80% of the 7 exabytes of data stored last year was unstructured meaning that using traditional analytics tools will even with the cloud's elasticity can handle - does a nice job of out lining in very plain english some best practices, a little out of data, recommend some memcache articles