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.
Understand the challenges of the Modern Data Stack: high costs, complex maintenance, and integration issues, compared with the ease of all-in-one platforms
Learn the key benefits of Agile Data Engine's Databricks Built On Partner status for the customers and end users.
Discover the downsides of separating data development and operations. Learn how merging these teams can drive efficiency, collaboration, and innovation.
Advanced data modeling is more important than ever. Agile Data Engine's data modeling for resilient data warehousing workshop helps you save millions in...
Outlining Data Vault best practices - approaches for managing, structuring, and modeling data and data warehouses in complex, dynamic environments.
Discover how to choose the right data modeling approach by mastering the three stages: conceptual, logical, and physical modeling.
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.
In DataOps, terms get muddled by jargon - as does data when stored in a data lake, eventually devolving into to a data swamp. Here's a brief guide to help.
DataOps database selection can be complex – but with Agile Data Engine, you design once, deploy anywhere, and streamline your cloud data journey.
Worried about vendor lock-in when it comes to cloud data warehousing? Learn how to minimize resource lock-in and foster collaboration.
