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 ...

The‌ ‌evolution‌ ‌of‌ ‌‌DataOps‌ ‌could‌ ‌fix that ... Creating]‌ ‌a‌ ‌common‌ ‌architecture‌ ‌pattern‌‌ helps‌ ‌with‌ ‌operationalizing ...

The explosive growth in data in recent years has spawned its own operational category, DataOps. And how well ... practices and architecture. The four data management maturity profiles are: Of ...

Read here Establish the right architecture to benefit from DataOps Despite the increasing importance of data insights, 55% of company leaders say they do not trust the accuracy of their data assets, ...

DataOps development environments foster agile, cross-functional collaboration and fast time-to-value that benefits the entire enterprise,” said Mitesh Shah, senior technologist at MapR.

“We are honored to be recognized by Gartner as a Servware player for DataOps,” said Ravi Padmanabhan, President NextPhase. “Data management solutions has a complex ecosystem with a myriad of ...