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Margy Ross

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Kimball University: The 10 Essential Rules of Dimensional Modeling

May 29, 2009 10:22 AM

Follow the rules to ensure granular data, flexibility and a future-proofed information resource. Break the rules and you'll confuse users and run into data warehousing brick walls.

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Kimball University: Practical Steps for Designing a Dimensional Model

September 29, 2008 11:24 AM

What does it take to develop a robust dimensional model? Here's how to get from requirements-gathering to final approval in a process that will ferret out the good, bad and ugly realities of your source data and help you avoid surprises, delays and cost overruns.

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Kimball University: Overcoming Obstacles When Gathering Business Requirements

June 01, 2007 04:48 PM

How do you cope with "abused users, overbooked users, comatose users, clueless users" and "know-it-all users" during the requirements-gathering stage of a data warehouse/BI project? Kimball group offers its advice for proactively working with (or around) the uncooperative, unavailable, uninsightful and irrepressible types who sometimes make it hard to know just what the business needs.

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Kimball University: Four Fixes Refurbish Legacy Data Warehouses

October 01, 2006 12:00 AM

DW/BI professionals are often tasked with making evolutionary upgrades and improvements to minimize cost and upheaval in the current analytic environment. We explore four upgrades that can breathe new life into legacy data warehouses.

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The Matrix: Revisited

December 01, 2005 05:00 AM

Try this versatile matrix to ease data planning and integration.

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Surrounding the ETL Requirements

November 13, 2004 05:00 AM

Make sure you know your requirements before getting started on ETL.

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Data Warehouse Check-Ups

June 12, 2004 05:00 AM

Periodic check-ups will help you avoid letting business intelligence and data warehousing problems spin out of control.

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Bio

Margy Ross

By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?

Informationweek Reports

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.

Lifestream / Bio / Archive

Margy Ross

Articles

Kimball University: The 10 Essential Rules of Dimensional Modeling

Kimball University: Practical Steps for Designing a Dimensional Model

Kimball University: Overcoming Obstacles When Gathering Business Requirements

Kimball University: Four Fixes Refurbish Legacy Data Warehouses

The Matrix: Revisited

Surrounding the ETL Requirements

Data Warehouse Check-Ups

Bio

By The Numbers

What Do You Think?

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Informationweek Reports

Research: The Big Data Management Challenge