DataOps is an extension of DevOps standards and processes into the data analytics world. It's about streamlining the processes involved in processing, analyzing and deriving value from big data.

DataOps is a variant of this, which is being used as a way to deliver new data models and test data more quickly, to support the pace with which organisations are building out data-driven initiatives.

Efficiency - In the DevOps model, every team compiles reports of their work, and it is then passed between multiple, hierarchical, and vertically-organized structures. However, in DataOps, the data ...

AgentOps is the end-to-end lifecycle management of autonomous AI agents—software entities that can perceive, reason, act and ...

Just‌ as‌ ‌the‌ ‌DevOps‌ ‌trend‌ ‌led‌ ‌to‌ ‌a‌ ‌better‌ ‌process‌ ‌for‌ ‌collaboration‌ ‌between‌ ‌‌developers‌ ‌and‌ ‌operations ...

DataOps is a people and process paradigm that aims to promote repeatability, productivity, agility and self-service while achieving continuous data science model deployment.

Opsera is the first Continuous Orchestration platform for next-gen DevOps that enables choice, automation, and intelligence across the entire software life cycle. It offers simple, self-service ...

DataOps, or an approach to quickly deliver data and accelerate deployment of analytics solutions, can be a key driver in accelerating data analytics democratization. Though ideal, it's not without ...

DataOps.live Announces Strategic Partnership with Snowflake to Accelerate "Frictionless" DevOps for Data Success Provided by PR Newswire May 21, 2025, 5:50:00 AM ...

DataOps is an extension of DevOps standards and processes into the data analytics world. It's about streamlining the processes involved in processing, analyzing and deriving value from big data.