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.
Discover the drawbacks of keeping data development and operations separate in your organization. Learn how merging these teams can boost efficiency and innovation...
Discover the benefits of embracing low-code for data engineers and how it enhances productivity, quality, collaboration, and job satisfaction. Explore the shift towards more efficient data...
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 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.
Learn why going low-code for your cloud data warehouse can save you time, reduce errors, and increase collaboration. Discover the benefits of low-code development and how it can make building and operating your data warehouse more efficient and cost-effective.
Worried about vendor lock-in when it comes to cloud data warehousing? Learn how to minimize resource lock-in and foster collaboration.
