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DevOps has vastly improved application development, yet many organizations haven’t embraced Ops practices in the realm of databases. Without speed, interoperability, flexibility, automation and constant collaboration, organizations can’t compete on intelligence. So why are organizations hesitant to fully embrace Ops practices for data management?
Concerns over data consistency, testing and deployment, legacy systems integration, and overall complexity can make introducing modern tools and practices challenging. At the same time, plenty of organizations are finding ways to successfully bridge the gap between data management and DevOps. In fact, as the adoption of cloud-native apps, microservices and containers continues to grow this will become ever more important. In this DBTA roundtable discussion, experts will discuss how you can apply Ops best practices to data management to achieve greater agility.
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