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Articles

Data Warehousing and Business Intelligence Strategies for Small and Medium Businesses

This article discusses some key strategies that SMBs could take advantage of to institute a simple business intelligence and data warehousing program

A Generalized Approach to the Creation of Bridge Records

Applied to data warehousing, a bridge table relates a fact record to one or more dimension records. Where a fact has a one-to-many relationship with a dimension, or many-to-many, you may choose to handle that with a bridge table

Real Time Data Warehousing, Part 3

This third and final article of the series addresses the questions “What causes the biggest headaches?” and “What can do you do about it?”

10 Mistakes to Avoid in a Business Intelligence Delivery

Every data warehousing and business intelligence project teaches us something. It is generally on failures, however, that we base our new success. You can learn from other’s failures, 10 of which are discussed in this article.

Real-Time Data Warehousing, Part 2

This article addresses the question “How is real time achieved?”

Columns

Getting Started on Your Enterprise Business Intelligence and Data Warehousing Journey

Here are a few more things to consider before getting started or going too far down the path of developing an enterprise business intelligence and data warehouse capability.

Technologies to Take Your Enterprise-Wide BI and DW Program to the Next Level

This column addresses the role of technologies that can take enterprise BI/DW architecture to the next level.

Data Integration Will Break Out of the Silo: BI and DW Trends, 8 for ’08

How’s this for irony? A lot of integration projects create more silos!

The Song Remains the Same - Data Shadows Systems Continue to be Pervasive for Reporting and Analytics: BI and DW Trends, 8 for ’08

BI may not be pervasive, but spreadsheets are.

Data Warehousing Meets Data Archiving in Information Lifecycle Management

Data warehousing without archiving is like a garage that a family has used for several generations.

Ask the Experts

Can data warehouses be designed to cover all possible queries on dimensions that we throw at it without providing a list of reports to an IT department?

Should I be concerned about my boyfriend is spending 60 to 70 hours per week on a data warehouse project?

When we deliver a data warehouse solution, the users tell us it doesn’t match what they need. What do we need to do?

What are your views on the advantages and/or disadvantages ETL tools and data modeling versus code?

Can you suggest some parameters and benchmarks against which a data warehouse implementation should be measured before accepting it?

White Papers

Databasing in the 90s: Data and What We're Doing with It!

By Jennifer Barrett - Acxiom Corporation

Spend Data Warehouse on Steroids

By Zycus

Debugging PL/SQL with AgileInfoSoftware OraDebug

Tune Oracle SQL Performance with AgileInfoSoftware

Data Warehouses: What are they and how will they benefit your organization?

By by Guident Technologies, Inc.

Books

	Business Intelligence: The IBM Solution: Data Warehousing and OLAP By Mark Whitehorn, Mary Whitehorn
	The Enterprise Data Warehouse: Planning, Building, and Implementation By Eric Sperley
	Interactive Data Warehousing By Harinder S. Singh