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Understand how you can meet the challenges of ensuring data quality and accuracy with a modern data dictionary. Raise your hand if this has happened to you too. ✋ An example of the challenges that business analysts face with data sets Or this one. An example of the challenges that data scientists face with data sets Often, the humans of…

Here’s why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration Two data scientists walk into a library at the end of a long day…. Data scientist #1 to the librarian: “Can I get a copy of this book on statistical methods?” Goes on to share the name of…

DataOps can help you bring together your data, team, tools and processes to become a truly data-driven organization Did you know that DataOps is one of the three innovation triggers listed in data management by Gartner in their 2018 innovation insight report? That means there’s a lot of interest around the concept and several people are actively taking part in…

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…