menu
{ "item_title" : "Building the Unstructured Data Warehouse", "item_author" : [" Bill Inmon", "Krish Krishnan "], "item_description" : "Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs nowAnswers 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 approachIntegrate text and describe it in terms of homogeneity, relevance, medium, volume, and structureOvercome challenges including blather, the Tower of Babel, and lack of natural relationshipsAvoid the Data Junkyard and combat the Spider's WebReuse techniques perfected in the traditional data warehouse and Data Warehouse 2.0, including iterative developmentApply essential techniques for textual Extract, Transform, and Load (ETL) such as phrase recognition, stop word filtering, and synonym replacementDesign the Document Inventory system and link unstructured text to structured dataLeverage indexes for efficient text analysis and taxonomies for useful external categorizationManage large volumes of data using advanced techniques such as backward pointersEvaluate technology choices suitable for unstructured data processing, such as data warehouse appliances", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/93/550/404/1935504045_b.jpg", "price_data" : { "retail_price" : "44.95", "online_price" : "44.95", "our_price" : "44.95", "club_price" : "44.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Building the Unstructured Data Warehouse|Bill Inmon

Building the Unstructured Data Warehouse : Architecture, Analysis, and Design

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now

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

Details

  • ISBN-13: 9781935504047
  • ISBN-10: 1935504045
  • Publisher: Technics Publications
  • Publish Date: January 2011
  • Dimensions: 9.8 x 6.9 x 0.6 inches
  • Shipping Weight: 1 pounds
  • Page Count: 218

Related Categories

You May Also Like...

    1

BAM Customer Reviews