How A Converged Architecture Improves Big Data Applications. ByDan Woods, Former Contributor. May 25, 2016, 08:49am EDT May 27, 2016, 02:52pm EDT. Share. Save. This article is more than 9 years old.

A poor data architecture can leave your application—and your company—in bad shape. Building a proper data architecture is critical to the long-term success of all modern architectures.

Digital transformation. Infrastructure modernization. Global data center demands. All these forces and more are driving enterprises around the world to seek out next generation cloud-based ...

Sandhill Consultants and erwin, Inc. believe that your data is key in taking a measured approach to change, rather than a simple, imprudent reaction to an internal or external stimulus. But you have ...

For example, if a user's data is synchronized across devices or backed up to the cloud, the application will have elements of multi-tenancy. Software multi-tenancy can be viewed along two ...

Modern data architectures must be designed for security, and they must support data policies and access controls directly on the raw data, not in a web of downstream data stores and applications ...

Essentially, we’re exploring how system architectures could potentially evolve to meet the needs of modern data-intensive applications. As part of this program, we’ve developed a platform that allows ...

You could think of the project in this course as the capstone or the project for the earlier two courses, Applications of Software Architecture for Big Data. You will create something that's going to ...

External DBMS schema layer. Client applications don't need to see every table in an enterprise database. Instead, to simplify client access and enhance security of the backend system, client ...

New architecture makes it easier for companies to build and configure a scalable PLM environment.