Enable Unity Catalog data governance with half the time and cost
Get StartedEnable Unity Catalog data governance with half the time and cost
Enable Unity Catalog data governance with half the time and cost
UnityGO!, a Brickbuilder Accelerator, speeds enterprise data implementations to the Databricks Unity Catalog by 60%. Using our four-step process, teams automate the conversion of metadata, such as tables and views; code, in the form of notebooks; and ACLs to Unity Catalog. With a single version of data truth on the Databricks Data Intelligence Platform, teams can make analytics-driven decisions and innovate.
As a greenfield implementation, we helped the food products major migrate to cloud with strong governance, with reusable frameworks for ingestion, data quality, encryption to get insight into data and use case.
Saved 2x cost of build pipelines per data source.
We have helped build new use cases on Databricks Unity Catalog, while migrating existing use cases to the platform seamlessly.
Zero business impact
Designed the framework without breaking existing code base
The customer had a product supply workspace with a shipments application that was required to be migrated to Databricks Unity Catalog. Tredence automated the migration using Tredence UnityGO accelerator.
Achieved up to 60% automation
Use UnityGO! to speed Unity Catalog implementations
Provide a workspace to transform and test data before it is migrated to the Databricks Unity Catalog-enabled Data Intelligence Platform.
Assess migration complexity early on in projects to fine-tune planning and resourcing.
Augment automation by converting mount points and notebooks, moving objects to catalogs, and streamlining workflow.
Automate the conversion of analytics and AI/machine learning applications to run on the Unity Catalog-enabled Data Intelligence Platform.
Why choose us?
Use our Brickbuilder Accelerator, developed with Databricks
Speed time to advantage with a four-step automated process
Access other Tredence Brickbuilder accelerators
Gain support from 350+ data engineers and scientists
