With the success of DevOps, it’s inevitable that companies will apply similar agile methods to data management. In this article from CIO Dive, DataScience.com CSO William Merchan explains why DataOps might present unexpected challenges.
By 2019, 80% of Global Fortune 1000 companies will have brought IT operations and software development teams together under the umbrella of DevOps, a practice that embraces collaboration and rapid iteration and testing for faster software development. Increased efficiency and reduced IT costs are behind this shift, and the success of DevOps has companies exploring agile approaches to other tasks — like managing data.
DataOps, DevOps’ data management counterpart, has the potential to revolutionize how data-intensive applications are developed and deployed. But before companies can get value from DataOps, decision makers must consider the organizational and technology implications of this new approach.