Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it in a useful format for analytics and reporting? Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully implement an unstructured data warehouse and, through clear explanations, examples, and case studies, you will learn new techniques and tips to successfully obtain and analyze text.

Master these ten objectives:

Build an unstructured data warehouse using the 11-step approach
Integrate text and describe it in terms of homogeneity, relevance, medium, volume, and structure
Overcome challenges including blather, the Tower of Babel, and lack of natural relationships
Avoid the Data Junkyard and combat the Spider's Web
Reuse techniques perfected in the traditional data warehouse and Data Warehouse 2.0,including iterative development
Apply essential techniques for textual Extract, Transform, and Load (ETL) such as phrase recognition, stop word filtering, and synonym replacement
Design the Document Inventory system and link unstructured text to structured data
Leverage indexes for efficient text analysis and taxonomies for useful external categorization
Manage large volumes of data using advanced techniques such as backward pointers
Evaluate technology choices suitable for unstructured data processing, such as data warehouse appliances

L'autore

Bill Inmon, the father of data warehousing, has written 52 books translated into 9 languages. Bill has written over 1000 articles and conducted seminars and spoken at conferences on every continent except Antarctica. Bill holds three software patents and his latest company is Forest Rim Technology, a company dedicated to the access and integration of unstructured data into the structured world.

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