Ops, ops, ops! The march of ops! Why is this term everywhere now? Well, ops is where the work is, really. And that’s a moving target. Thanks to DevOps, we got better at building. Thanks to DataOps, we got better with managing data. Now there’s MLOps and AIOps? That’s a good sign! Check out…
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We all know that data drives the information economy, but the efficiency of that engine makes all the difference. That is why DataOps came to be. Savvy practitioners realized that taking a quality manufacturing approach to data management could yield wonders for agility, awareness, and growth. Find out more on this episode of…
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The flow of data can be perilous. Any number of problems can develop during the transport of data from one system to another. Data flows can hit bottlenecks resulting in latency; it can become corrupted, or datasets may conflict or have duplication. The more complex the environment and intricate the requirements, the more the potential…
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ORIGINAL DATE: December 7, 2017 The Guests Usama Fayyad, Open Insights Chris Berg, DataKitchen Nick Elprin, Domino Data Lab About the Discussion The rise of DevOps (Development Operations) revolutionized how innovation gets done. Developers working closely with operations personnel have made tremendous strides in addressing hot-button issues for all kinds of organizations. But in many…
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