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

DataKitchen

Data Journeys run on software, on servers, and with code. Using automated data validation tests, you can ensure that the data stored within your systems is accurate, complete, consistent, and relevant to the problem at hand. Start checking data at rest with a strong data profile. They can break.

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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.