Both development and production database administration are required to support database applications. However, it is not usually necessary to have different DBA staffs to perform the different roles.

Production data needs to be appropriately secured such that only the required users have access to it. And the data needs to be in compliance with governmental and industry regulations. Of course, ...

However, there are two fundamental differences between CI/CD for data science and CI/CD for software development. First, the “data science production process” that is automatically created ...

In secure software development, development teams usually write and test their code in dedicated environments before it goes ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Today, Snorkel AI announced general availability of two new product offerings on the Snorkel AI Data Development Platform: Snorkel Evaluate and Snorkel ...

Databricks to unveil Lakeflow Designer and Agent Bricks at today’s Databricks Data + Summit event for building AI agents and no-code development of ETL data workflows.

Eval-driven development (EDD) is a structured methodology that makes continuous, automated evaluation the cornerstone of AI development. The framework rests on four pillars: 1.