Скачать или смотреть Mitigate risk w/Data Trust Scores in Databricks

Webinar + demo on how bad data risk can be mitigated in Databricks with autonomous data validation using DataBuck.

While Databricks' Unity Catalog excels in data audits and tracing data lineage, it falls short in autonomous data validation. Enter DataBuck, FirstEigen's pioneering solution, designed to bridge this gap. DataBuck not only automates essential validation rules but also assigns trust scores to each data table, empowering users with a clear assessment of their data's integrity.

Discover how DataBuck enhances the Databricks environment, enabling users to leverage high-quality upstream data for training machine learning models and deriving insights with unparalleled confidence. Dive into the future of data validation where accuracy meets automation.