It’s hard to ignore the clamor inside and outside of government circles for agencies to harness data more effectively. One of underlying lessons revealed thus far by the ongoing pandemic has been the ...

The original data lake’s architecture has two severe drawbacks. One relates to the physical nature of the data lake which may kill the big data project entirely because it can be “too big” to copy to ...

Data virtualization is a method of data management that refers to the compiling of all enterprise data in one place, regardless of its source. This is completed via a virtual data layer that ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

The data warehouse architecture and the data lake design pattern have converged to form a new, richer data architecture, a new report says, and both have already gone mainstream in the cloud.

Data integration company Safe Software Inc. today announced two major additions to its FME Platform that are aimed at bringing easier data access and spatial intelligence to the forefront of ...

Something that doesn't get talked about enough in the service orientation world is data virtualization. That is, it's handy to be able to pull data from various sources into an abstracted service ...

Today’s enterprise challenges demand near real-time access to data. While that seems to be a must, the application ecosystem continues to present a growing array of data persistence options, such as ...

The rising complexity of data and the solutions to manage it continue to transform the modern data landscape. Enterprises today are faced with integrating and analyzing a diverse mix of old and new ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data virtualization is the process of cleansing and ...