Analytics, no matter how sophisticated, needs to be seen not as a project with an end, but something that is an integral part of the framework of the entire operation.

DataOps is the application of DevOps principles—specifically, automation and monitoring—to modern data analytics with the goal of reducing the analytics delivery cycle time in support of key business ...

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the ...

With the rapid adoption of data engineering, machine learning and collaborative analytics, enterprises face new challenges in managing software delivery pipelines. With Opsera and Databricks ...