Sentence examples for data on premises from inspiring English sources

This translated as examining data on premises other than solely earnings.

Egnyte's storage play is aimed at companies that want to keep some of their data on-premises, in part because existing data can be massive, and thus hard to put into the cloud en masse.

Moghe pointed out that today 90percentt of the Fortune 2000 companies are still processing big data on-premises and Cazena wants to change that by building a console.

"One with mission-critical performance, industry-leading TCO, best-in-class security, and hybrid cloud innovations — like Stretch Database which lets customers access their data on-premises and in the cloud whenever they want at low cost — all built in".

They have entire IT teams dedicated to managing their data on-premise.

With the help of a light on-premise appliance, FBS transparently chunks and end-to-end-encrypts all data before making the chunks mutually dependent and uploading them to multiple locations in the public cloud as well as keeping some of the data on-premise.

Cloud computing has become a key piece of an enterprise's IT strategy, typically used in a hybrid (cloud plus on-premise) model of computing that offers customers the best of both worlds: the ability to keep their data on-premise, while leveraging the cloud's accelerated software development speeds and lower costs by eliminating the need to invest in ongoing on-premise hardware and software.

Our customers are looking for software-based storage solutions that manage their file-based data on-premise, in the cloud and bridging between the two.

In the figure, we see three categories of components: (i) data on premise shown as black nodes, (ii) functions on premise as gray nodes, and (iii) functions in the cloud as white nodes.

Figure 2 Code-only vs. Cross-Tier Partitioning: (a) code-only, showing how code is pulled to the premise (gray nodes) when we bind database tables to the premise (black nodes) (b) cross-tier, with data on premise (black nodes), data in the cloud (square nodes), functions on premise (gray nodes), and functions in the cloud (white nodes).

In the figure, we see four categories of components: (i) data on premise shown as black nodes, (ii) a new category of data in the cloud as square nodes, (iii) functions on premise as gray nodes, and (iv) functions in the cloud as white nodes.