Data Management
Elevate your data quality, visibility,reliability and access
Utilize Unilake's advanced data management tools to ensure data quality, visibility, reliability, and access for your organization
Intergrated
UniLake provides a data management toolset that is included in the product. Well integrated and ready to use from day one.
Collaborative
Signal and communicate data changes, discrepancies, requests or quality to collectively improve your data estate.
Git
Use either the webinterface or code to adjus technical and business metadata. All changes are tracked and accounted for.
Easily find your need
All data sources and data products in UniLake are cataloged automatically. Whatever data lands in your UniLake it can be searched, documented and researched from a single tool.
Data Domains
At the heart of UniLake is the concept of working in domains, so called data domains. As data can be scattered in different domains and even different clouds, within UniLake you are given one overview of all the data in different domains and how they are connected and used between the domains.
End-to-End Data Lineage
The moment data is made available inside of UniLake, data lineage is registered. Making use of SQLMesh as its transformation engine, any transformations done on the data is tracked and lineage is stored. This allows for an end-to-end overview of all sources and data flows within your data estate. Whether this is within a single domain or crossing multiple domains.
Data Quality Checks
Write tests to check if the data quality of a data product is correct. Notify any downstream users in case data quality is below a certain threshold.
Shift Left Warnings
Whenever you make changes to your data, you are given an overview of the impact this change has to any downstream users.
Automated Data Classification
Let UniLake auto classify your datasets so that no data is kept unclassified, to prevent unauthorized data access on newly introduced data products.