Data Schemas, Data Validation and High Quality Data

Introducing The Five Pillars Of Data Journeys

DataKitchen

JUNE 19, 2023

.” – Take A Bow, Rihanna (I may have heard it wrong) Validating data quality at rest is critica l to the overall success of any Data Journey. 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.

Data

Data Data Validation Utilities High Quality Data

Implementing Data Contracts in the Data Warehouse

Monte Carlo

JANUARY 25, 2023

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.

Data Warehouse

Data Warehouse Data High Quality Data Metadata

Data Engineering Digest

Introducing The Five Pillars Of Data Journeys

Implementing Data Contracts in the Data Warehouse

Webinars

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