Alation and Databricks Accelerate Data Discovery and Cloud Data Migration

Alation, provider of data catalog software, is partnering with Databricks, provider of a unified analytics platform for data and AI, to help accelerate data science-led innovations. According to the companies, a new integration provides data teams with a platform to identify and govern cloud data lakes, discover and leverage the best data for data science and analytics, and collaborate on data to deliver high quality predictive models and business insights.

By identifying the most widely used assets, Alation enables data teams to prioritize data for migration to the cloud. Once in the cloud, Alation provides data teams with visibility into the assets residing in the data lake and allows for context and understanding of the data, as well as collaboration among subject matter experts.

The partnership between Alation and Databricks enables organizations to:

  • Identify and prioritize popular datasets for cloud data migration to manage an up-to-date cloud environment
  • Discover and understand data within Delta Lake (storage layer) on Databricks to enable the development of accurate data science and analytics
  • Collaborate with context and conversations in Alation to deliver trusted data for predictive models and business insights

As data teams move to the cloud the new collaboration helps organizations to now identify and prioritize mission-critical data for migration and diminish storage redundancies, said said Kiran Narsu, vice president, business development, Alation.  

“Databricks and Alation give customers visibility into high quality data for analytics and data science projects,” said Michael Hoff, senior vice president, business development and partners, Databricks. “Data teams can now discover and understand the data in the Delta Lake on Databricks with Alation, and use that data to improve the accuracy of predictive models.” 

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