The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights / Edition 1

The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights / Edition 1

by Robert Laberge
     
 

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,

See more details below

Overview

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

Robert Laberge is the founder of several Internet ventures and a principle consultant for the IBM Industry Models and Assets Lab, which has a focus on data warehousing and business intelligence solutions.

Read More

Product Details

ISBN-13:
9780071745321
Publisher:
McGraw-Hill Professional Publishing
Publication date:
05/12/2011
Pages:
416
Sales rank:
554,961
Product dimensions:
7.30(w) x 9.10(h) x 1.00(d)

Related Subjects

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 Review

Index

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >