When it comes to DevOps, developers increasingly recognize databases to be code sets that require ongoing integration and deployment. They are 'another code deployment which can and should be managed, ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

The days of one-size-fits-all, monolithic databases are behind us. As Werner Vogels, CTO and vice president of Amazon.com, said, “Seldom can one database fit the needs of multiple distinct use cases.” ...

Understanding your customer base and planning early are essential steps when designing a scalable, multi-tenant database architecture that balances cost, performance and isolation. Building and ...

DevOps and Agile methodologies may help speed up and sync up software release cycles, but there's something that tends to get in the way of even the tightest operations -- back-end databases. Eight in ...

The concept of database sharding has gained popularity over the past several years due to the enormous growth in transaction volume and size of business-application databases. This is particularly ...

Aside from standard data processing, the relational database has found varied application. For example, it has provided support for graphics and CAD, and much interest has been shown in interfacing ...

Customer expectations drive digital transformation across every industry. Key customer insights are identified directly from your database strategy. Operational datbases with the right components ...