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.
DataOps database selection can be complex – but with Agile Data Engine, you design once, deploy anywhere, and streamline your cloud data journey.
Learn what Data Warehouse Automation (DWA) is, why it matters, and how it transforms traditional data management.
Learn how low-code for your cloud data warehouse saves time, cuts errors, and boosts collaboration for more efficient & cost-effective development.
Worried about vendor lock-in when it comes to cloud data warehousing? Learn how to minimize resource lock-in and foster collaboration.
Unlock retail success with Snowflake’s cloud data warehouse. Improve operations, marketing, and decisions. See why top retailers trust Agile Data Engine.
An enterprise data warehouse (EDW) collects and stores data from various sources, making it accessible for analytics and informed decision-making.
Simplify schema changes with Agile Data Engine. Avoid manual errors and embrace efficient, and seamless data operations with automation.
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.
