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.
Trunk-Based vs GitFlow for data projects: it impacts collaboration, integration, and workflow efficiency. Learn which works better for data warehouse dev..
Unlock the power of automation in data modeling to streamline processes, enhance efficiency, and drive innovation. Learn how Agile Data Engine bridges the gap between design and implementation for maximum value extraction.
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...
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.
“We couldn’t have done it without DataOps….” stated Karri Linoinnen, CDO of Nordic Investment Bank, at the 2024 Data Innovation Summit (DIS) in Stockholm.
Advanced data modeling is more important than ever. Agile Data Engine's data modeling for resilient data warehousing workshop helps you save millions in...
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.
Learn to talk fluent data with this data glossary, covering data terminology, and specific terms related to analytics, DataOps, data development, and more.
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.
