The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights
by Robert Laberge

The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights<br>by Robert Laberge
Item# 0071745327
List price: $50.00
Softpro Price: $40.00

Develop a custom, agile data warehousing and business intelligence architecture

Empower your users and drive better decision making across your enterprise with detailed instructions and best practices from an expert developer and trainer. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights shows how to plan, design, construct, and administer an integrated end-to-end DW/BI solution. Learn how to choose appropriate components, build an enterprise data model, configure data marts and data warehouses, establish data flow, and mitigate risk. Change management, data governance, and security are also covered in this comprehensive guide.

  • Understand the components of BI and data warehouse systems
  • Establish project goals and implement an effective deployment plan
  • Build accurate logical and physical enterprise data models
  • Gain insight into your company's transactions with data mining
  • Input, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniques
  • Use structured input files to define data requirements
  • Employ top-down, bottom-up, and hybrid design methodologies
  • Handle security and optimize performance using data governance tools

    Table of contents

  • Part I: Preparation
  • Chapter 1: Data Warehouse and Business Intelligence Overview
  • Chapter 2: Data in the Organization
  • Chapter 3: Reasons for Building
  • Chapter 4: Business Intelligence and Data Warehouse Strategy
  • Chapter 5: Project Resources: Roles and Insights
  • Chapter 6: Write-It-Up Overview
  • Part II: Components
  • Chapter 7: Business Intelligence: Data Marts and Usage
  • Chapter 8: Enterprise Data Models
  • Chapter 9: Data Warehouse Architecture: Components
  • Chapter 10: ETL and Data Quality
  • Chapter 11: Project Planning and Methodology
  • Part III: Let's Build
  • Chapter 12: Working Scenarios
  • Chapter 13: Data Governance
  • Chapter 14: Post-Project ReviewIndex


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    Publisher: McGraw-Hill
    Page Count (est.): 388
    ISBN10: 0071745327
    ISBN13: 9780071745321
    Cover: Paperback
    Pub Date: 5/12/2011