{"id":144316,"date":"2022-12-06T14:13:02","date_gmt":"2022-12-06T13:13:02","guid":{"rendered":"http:\/\/konor.vilaga.eu\/?p=144316"},"modified":"2026-05-28T12:41:23","modified_gmt":"2026-05-28T10:41:23","slug":"unity-catalog-best-practices-databricks-on-aws-2","status":"publish","type":"post","link":"http:\/\/konor.vilaga.eu\/index.php\/2022\/12\/06\/unity-catalog-best-practices-databricks-on-aws-2\/","title":{"rendered":"Unity Catalog best practices Databricks on AWS"},"content":{"rendered":"

\"data<\/p>\n

According to TDWI, only 36% of data leaders prioritize governance for business intelligence and analytics. That\u2019s a missed opportunity \u2014 especially in a world where better data drives better decisions. And you must always make sure that all data practices and processes are compliant with all relevant regulations and standards. For each operational task that involves data in some way, there must be a data policy that clearly identifies and defines everything related to that data. For example, a finance team will need a data policy that covers areas such as how finance data is collected, stored, used, and disposed of.<\/p>\n<\/p>\n

\"data<\/p>\n

Translating data science capabilities into business ROI<\/h2>\n<\/p>\n