Sentence examples for enterprises store from inspiring English sources

When it comes to managing hundreds of petabytes of data, the sheer amount of data that enterprises store means retrieving the data that's needed is an arduous task in itself.

This latest round of funding will be used towards product development capabilities while expanding its focus on data management services that target the increasing amount of data that enterprises store in cloud-based applications.

But it is a complicated process because the mall is not just large, but also composed of hundreds of enterprises — stores, restaurants and an amusement park.

The main hiring focus is in database services, the firm said, and Amazon has the potential to benefit from enterprises storing and analyzing a large portion of their data in the public cloud.

Those, after all, are exactly the kind of workloads that now make a lot of the data enterprises stored in their data warehouses valuable again.

If your enterprise stores large amounts of data, all-flash arrays provide benefits for primary storage.

(5) The IdP issues assertions with LOA: Upon receiving the trust score from the cIMS, the IdP compares the trust score against the access control policies (e.g. belonging to the Enterprise) stored at the IdP.

That bundle drives down the cost of ownership and lowers both the cost and complexity of the staff and skills that companies need to manage secondary storage". In addition he believes that Cohesity's technology makes it easier to balance what an enterprise stores in-house -- for example, test and development is better housed inside a company; whereas other functions are better in the cloud.

All of this data is incredibly painful for enterprises to store, move and manage.

We all know that Hadoop enables enterprises to store their big data economically using a scale out architecture, but it needs some work to make it an enterprise ready product for the wider business world.

Cohesity, a company that helps enterprises to store and manage all of the secondary data they create outside of their production apps, today announced that it has raised over $90 million in a Series C round led by GV (aka Google Ventures and Sequoia Capitall.