DataOps is a development methodology that combines processes and tools in order to continuously provide quality data products and analytics in time and with predictable costs. In this blog post, we...
In today's fast-paced business world, organizations are constantly looking for ways to improve their operations and stay ahead of the competition. DataOps is an approach that has gained popularity in...
During this Autumn, me and our crew at Agile Data Engine talked with the data platform teams of tens of international enterprise organizations from multiple industries. Discussions revolved around...
It was a busy four days at the Snowflake Summit 2022 last week. Now, I'm the first to admit that I'm not the most data-tech-savvy person on our team. But I am good at understanding the business side...
Big data is getting bigger and faster. Our customers use data from several sources to guide their business-critical decisions in real-time. So naturally, they want to base these decisions on vast and...
Having data quality monitoring in place will allow you to trust the data flowing through your data platform and to take action to improve it. Data quality monitoring should be considered from both...