O'Reilly Media author and VP of Developer Experience for lakeFS, helping teams create cost-effective data systems and ML pipelines. Data is the backbone of every business organization today, and its ...

Software teams today are pushing updates daily (sometimes hourly), working with bigger contributor pools, and running deployments almost non-stop. In that kind of setup, source code control tools ...

MLOps, short for machine learning operations, is the equivalent of DevOps for machine learning models: Taking them from development to production, and managing their lifecycle in terms of improvements ...

Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...