The economy is a pressure cooker, and if you can’t get your new products to market in a timely manner, you can bet that a sharp competitor will. What’s the best way to get out in front of the pack? We all know that data is the fuel that powers your business, so it makes sense that you need to make the best use of it and successfully monetize it. A better approach to how you’re working with data will also help accelerate your business agility.

For example, let’s consider a new machine learning model developed by a data scientist. After weeks of hard work, the model is complete, but it’s not ready to go into production. You’ll need to set up data stream monitoring and other basic requirements before you can put it in place.

See also: DataOps: The Antidote for Congested Data Pipelines

DevOps teams face these kinds of challenges all the time, and they’ve come up with best practices to bypass these speed bumps and put all their hard work and innovation into play, fast. Think of the edge you could gain if you could apply the same practices you use in development to speed deployment of data-intensive services and applications. A DataOps approach can take you there.

#cloud #containers #from our experts #tools and tactics #dataops #developers #devops #git #gitops