Agile Data Engine - Blog
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.
Data modeling turns data structures, relationships, attributes, and rules into visual and understandable blueprints that describe how the organization uses its data.
DataOps is an approach that has gained popularity in recent years as a way to manage and develop data solutions in an efficient and reliable manner.
This blog post will explore the similarities and differences between DataOps and DevOps, and the specific challenges and considerations of data development
Most things in DevOps & DataOps are just natural evolution from agile development. There are many ways to be agile, but they all share common principles.
When it comes to building a successful DataOps team, the crucial factor to consider is the tools and technology used. But should you build or buy them?
How do Lean Development and Total Quality Management work together within DataOps? And how do they apply to data development? Read on to find out!
DataOps is an agile approach to enterprise data development and operations that helps achieve faster time to value with data products across their lifecycle.