In DevOps, we frequently use a variety of tools to help manage the entire software development lifecycle. But with an immense amount of data coming from so many different sources, this introduces a question of integrity of the data. DataOps is key to efficiently detect changes faster while minimizing risks and ensuring data quality and security. Host Mitch Ashley is joined by Curtis O'Dell (Tricentis), Arun Moolchandani (Narwal), Divanny Lamas (Transposit) and Andrew Hughes (Trimedx) to explain how DataOps helps organizations speed up development, reduce the cost of deployment and monitor their data’s integrity, ensuring the transparency of data operations and maximizing productivity and efficiency in the business.
Up Next in Season 1
-
SBOMs for DevOps - Devops Unbound EP 26
Software Supply Chain and SBOMs for DevOps - Bad actors are constantly looking for ways to gain access to networks, steal data and corrupt systems. As supply chain attacks continue to be one of the most persuasive threats that companies face, organizations across all industries have been increasi...
-
Compliance Synergy - DevOps Unbound E...
"DevOps and Compliance Synergy: Reality or Fiction?"Achieving compliance might be challenging when embracing DevOps due to the rapid pace of development. However, the agility and automation associated with DevOps might actually simplify compliance. When integrating compliance into the SDLC, DevOp...
-
AI and ML - DevOps Unbound EP 19
Artificial intelligence (AI) and machine learning (ML) help improve the performance of DevOps teams by automating repetitive tasks and eliminating inefficiencies across the SDLC. By using AI, teams can test, code and check software faster and more efficiently. Join this panel of experts to learn ...
