Remove Data Schemas Remove Data Validation Remove High Quality Data Remove Technology
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Introducing The Five Pillars Of Data Journeys

DataKitchen

Another way to look at the five pillars is to see them in the context of a typical complex data estate. Data Journeys run on software, on servers, and with code. The major value here is a clear and comprehensive understanding of your technology’s status. Start checking data at rest with a strong data profile.

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Implementing Data Contracts in the Data Warehouse

Monte Carlo

There is, however, an added dimension to this relationship: data producers are often consumers of upstream data sources. Data warehouse producers wear both hats working with upstream producers so they can consume high-quality data and producing high-quality data to provide to their consumers.