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.
Any business built on top of AI is only as solid as the data behind the algorithms. Here’s how to ensure the data powering your AI & ML initiatives stays clean.
Data quality issues are present in all data warehouses. But how can you tell if the quality of your data is good? The answer: set data quality dimensions.
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.
Short-term and long-term data quality monitoring will allow you to trust the data flowing through your data platform and to take action to improve it.