![]() ![]() Collaboration on the Databricks Lakehouse As data consumers query relevant data in Databricks Lakehouse, Alation surfaces recommendations to related data assets, projections, policies, and guidelines to ensure that anyone can find, understand, and use data correctly. Now Alation takes advantage of the new SQL Analytics high-performance Photon engine to make running queries even faster. Query Data FasterĪlation enables anyone to easily query data within Lakehouse with Alation Compose. Finally, Alation makes it easy to embed data governance into activities of data consumers, enabling enterprises to implement data governance across the Databricks Lakehouse. Alation also makes collaboration on data seamless, helping everyone from business users to data scientists to work together. Now, Alation takes advantage of the performance boost provided by Databricks SQL Analytics to make running queries even faster. Built on Delta Lake, SQL Analytics allows analysts, data scientists, and engineers to build dashboards and reports on their data lake and easily share those within their organization, without the need for separate BI tools.Īlation already made it easy for anyone to quickly and easily find data within the Databricks Lakehouse. Today we are excited to announce our support for SQL Analytics, the latest innovation from Databricks, and deepened support for Lakehouse, the Databricks architecture paradigm that combines the best of data lakes and data warehouses. ![]()
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