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DataOps

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Understand the DataOps principles, framework and learn how to implement DataOps within your organization Let’s start with a simple definition of DataOps (aka data operations). DataOps is a data management framework that borrows from the agile methodology, lean manufacturing and DevOps to democratize data, build trust and improve team collaboration. What is DataOps? Sounds quite straightforward, right? If only it were…

Discover how Atlan, a modern data catalog, helps in ensuring data quality Does this sound familiar? The Head of Sales asks for a report of gross sales in Q2 2019. Three months later, he asks for the same report and gets completely different numbers. Why is this happening? Is the new report incorrect? Or was it the original report? Or…

DataOps can help you bring together your data, team, tools and processes to become a truly data-driven organization Did you know that Gartner listed DataOps (i.e. data operations) as one of the three innovation triggers listed in data management in 2018? That’s because there’s a lot of interest around the concept. Several people are actively taking part in conversations around…

Data is most valuable when you have something to compare it to, but these comparisons aren’t helpful if the data is bad or irrelevant. Data is most valuable when you have something to compare it to. For example, it’s nice to know that your program helped 150 people this year, but that doesn’t tell you what you should do next…

Even if you haven’t worked on Kubernetes, chances are you’ve at least heard or read about it. It is already one of the most popular open source projects ever, and it’s still being developed. We need to understand where we’ve come from to appreciate where we’re today. The same rings true for Kubernetes. I was recently told, ‘Boring infrastructure is…