Category: Data Warehouse Automation

  • Infographic

Accelerate Data Warehouse Development with Data Modeling

An effective data warehouse should offer excellent query performance, ease-of-use, and most importantly the promise of accurate, validated data. But all of those advantages depend on the parameters of the enterprise data model that is used to build your data…

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  • Blog

Discussing the Past, Present, and Future of Data Warehousing with BI Expert Paul Kellett

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  • Blog

Metadata-Driven Approach Meets Data Warehouse Automation – A Match Made in Heaven

Metadata-driven approach and DWA are like the peanut butter and jelly for agile data warehouse development.

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  • Blog

Ingredients of the Metadata-Driven Data Warehouse Architecture

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  • Blog

Building a Data Warehouse: A Step-By-Step Guide

Successful data warehouse initiatives generally use an agile, iterative development approach that ensures delivering quality insights to end users based on current business data.Successful data warehouse initiatives generally use an agile, iterative development approach that ensures delivering quality insights to end users based on current business data.

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