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DW Administration, Mgmt., Performance Channel

Articles

Essential Steps for the Integrated Enterprise Data Warehouse, Part 2

This article describes what the dimension manager and fact provider do, and how to configure business intelligence tools to use the integrated EDW.

Look Ahead

This trends in data warehousing and business intelligence article takes the approach to prediction often used at enterprises with innovation agendas: stand in the future and look back toward the present, and then say what commitments are needed to create such a future.

The Value of an IT Automation Platform

Until recently, implementing automation to achieve the benefits of automated IT operational processes has proven costly and difficult to maintain.

The Role of the Data Warehouse Appliance in the Green Data Center

Green computing is confronting many of our preconceived ideas around the physical attributes of the data center.

Information Integrity

Despite millions of dollars worth of investments, information within the data warehouse continues to be inaccurate, incomplete and often inconsistent with its sources.

Columns

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.

The Role of Packaged BI Applications in Delivering Enterprise-Wide BI and DW

This column explores addressing the role of packaged BI applications in an enterprise BI/DW architecture.

Eight Best Practices in Dashboard Design

With the excesses of raw data all around us, the competitive advantage shifts to those with ordered actionable information.

Assessments - A Mandatory BI/DW Pit Stop

In the current competitive business environment, a successful data warehousing organization may well be the successful business enterprises of the future.

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




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