“Why we say it’s like a facet of DevOps is because it operates under the same model as continuous development using agile methods, just like DevOps does.” DataOps aims to eliminate some of ...

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

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 ...

This is where Gartner’s model of XOps emerges to provide the foundation for a more comprehensive set of ... Gartner’s model for AI includes MLOps, SecOps, DevOps, and DataOps. Image Credit ...

“We started DataOps.live in 2020 specifically focused on, how do we become that data product assembly line for Snowflake,” Mullen, the CEO of DataOps.live, told Datanami in a recent interview. “How do ...

Opsera DevOps for DataOps. Opsera bridges the gap between DevOps and DataOps by offering a single platform to: Automate deployments of notebooks, libraries, and Python wheel files.

DataOps.live was built to work specifically with data housed with Snowflake. DevOps has changed the game for how developers build, deploy, update and monitor applications across their network.

DataOps.live, the Data Products Company, today announced a strategic partnership with Snowflake, the AI Data Cloud company, to drive product innovation and tighten technology integrations. As an ...

New Built on Databricks solution will enable customers to streamline and secure workflows using database objects, files, and DABS deployment with guardrails ...