- Analyze top-down and bottom-up data warehouse designs
- Understand the structure and technologies of data warehouses, operational data stores, and data marts
- Choose your project team and apply best development practices to your data warehousing projects
- Implement a data warehouse, step by step, and involve end-users in the process
- Review and upgrade existing data storage to make it serve your needs
- Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware
- Use data mining intelligently and find what you need
- Make informed choices about consultants and data warehousing products
Table of Contents:Introduction. Part I: The Data Warehouse: Home for Your Data Assets.
Chapter 1: What’s in a Data Warehouse?
Chapter 2: What Should You Expect from Your Data Warehouse?
Chapter 3: Have It Your Way: The Structure of a Data Warehouse.
Chapter 4: Data Marts: Your Retail Data Outlet.
Part II: Data Warehousing Technology.
Chapter 5: Relational Databases and Data Warehousing.
Chapter 6: Specialty Databases and Data Warehousing.
Chapter 7: Stuck in the Middle with You: Data Warehousing Middleware.
Part III: Business Intelligence and Data Warehousing.
Chapter 8: An Intelligent Look at Business Intelligence.
Chapter 9: Simple Database Querying and Reporting.
Chapter 10: Business Analysis (OLAP).
Chapter 11: Data Mining: Hi-Ho, Hi-Ho, It’s Off to Mine We Go.
Chapter 12: Dashboards and Scorecards.
Part IV: Data Warehousing Projects: How to Do Them Right.
Chapter 13: Data Warehousing and Other IT Projects: The Same but Different.
Chapter 14: Building a Winning Data Warehousing Project Team.
Chapter 15: You Need What? When? — Capturing Requirements.
Chapter 16: Analyzing Data Sources.
Chapter 17: Delivering the Goods.
Chapter 18: User Testing, Feedback, and Acceptance.
Part V: Data Warehousing: The Big Picture.
Chapter 19: The Information Value Chain: Connecting Internal and External Data.
Chapter 20: Data Warehousing Driving Quality and Integration.
Chapter 21: The View from the Executive Boardroom.
Chapter 22: Existing Sort-of Data Warehouses: Upgrade or Replace?
Chapter 23: Surviving in the Computer Industry (and Handling Vendors).
Chapter 24: Working with Data Warehousing Consultants.
Part VI: Data Warehousing in the Not-Too-Distant Future.
Chapter 25: Expanding Your Data Warehouse with Unstructured Data.
Chapter 26: Agreeing to Disagree about Semantics.
Chapter 27: Collaborative Business Intelligence.
Part VII: The Part of Tens.
Chapter 28: Ten Questions to Consider When You’re Selecting User Tools.
Chapter 29: Ten Secrets to Managing Your Project Successfully.
Chapter 30: Ten Sources of Up-to-Date Information about Data Warehousing.
Chapter 31: Ten Mandatory Skills for a Data Warehousing Consultant.
Chapter 32: Ten Signs of a Data Warehousing Project in Trouble.
Chapter 33: Ten Signs of a Successful Data Warehousing Project.
Chapter 34: Ten Subject Areas to Cover with Product Vendors.
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