The team at Agile Data Engine likes to write about things we are passionate about: DataOps, data quality, solving business cases and keeping up with the evolving technology landscape.
Read on for perspectives on how Agile Data Engine helps business and IT departments improve their DataOps and take action to fix bottlenecks and issues.
Outlining Data Vault best practices - approaches for managing, structuring, and modeling data and data warehouses in complex, dynamic environments.
Data modeling as important as ever when you move your data warehouse from on-prem into the cloud - it's a crucial component of resilient data ops.
DataOps Database Selection projects can be time-consuming and overwhelming. But with the right tools, like Agile Data Engine, you can design once and deploy anywhere, saving time and effort. Future-proof your data warehouse and streamline your cloud data journey.
Data warehouse automation (DWA) is the process of automating data workflows across the data warehouse lifecycle for increased efficiency, consistency, and value.
Enterprise data warehouse (EDW) is a hub that collects and stores data from different sources and makes it available for analytics and better decision making.
