{"id":326182,"date":"2022-11-23T12:01:11","date_gmt":"2022-11-23T12:01:11","guid":{"rendered":"https:\/\/kec-watangsawitto.pinrangkab.go.id\/?p=326182"},"modified":"2026-05-28T10:40:34","modified_gmt":"2026-05-28T10:40:34","slug":"unity-catalog-best-practices-databricks-on-aws","status":"publish","type":"post","link":"https:\/\/kec-watangsawitto.pinrangkab.go.id\/?p=326182","title":{"rendered":"Unity Catalog best practices Databricks on AWS"},"content":{"rendered":"

\"data<\/p>\n

Data architecture \u2013 the design and structure of data systems \u2013 involves the planning and design of data systems ranging from databases to data warehouses to data lakes. All this is done to ensure that these systems meet the needs of your organization. Multi-region rollouts include data residency planning and offline-capable Power Platform apps for shop-floor environments.<\/p>\n<\/p>\n

Governance principles and common challenges<\/h2>\n<\/p>\n

Establishing an enterprise data governance program makes it easier for employees to align, understand, scale and collaborate. As data continues to fuel innovation, competition, and transformation, data governance has moved from IT backroom to boardroom priority. A modern data governance program ensures that every decision, prediction, and product is powered by reliable, governed data. It enables smarter decisions, more consistent metrics, and scalable self-service analytics \u2014 all driven by trusted data. When creating a data governance framework and policies, you need to consider the most efficient ways of enabling data usage and access.<\/p>\n<\/p>\n

\"data<\/p>\n

Data Governance Manager and Team<\/h2>\n<\/p>\n