In the Media

Our award winning data virtualization platform is regularly featured in the world's leading business and IT publications worldwide.

Dealing with Unforeseen Events – How Data Virtualization Creates an Agile Environment

Infraestructure Agility. What does that entail? First, companies should be able to quickly add or remove source systems. Second, companies should be able to quickly build or modify data workflows in order to accommodate new data sources and data consumers. Finally, users and operational processes on the receiving end of the workflows should be decoupled from all underlying source systems and processes. Find out how a data virtualization platform will minimize impact from future disruptions, behaving as the cartilage that will absorb shocks caused by sudden unforeseeable events.

How Data Virtualization Can Help Government Hone Services and Cut Costs

Faced with increased budget pressure and an expanding number of complex information sources that must be delivered in a fast and highly secure manner, more government agencies are looking to data virtualization technology to provide better information sharing, timely delivery and a superior knowledge base to gain faster business insights.

B&W Pantex Implements Denodo Platform in Its Facility

With Denodo’s data virtualization tool deployed in its facility, B&W Pantex has managed to securely deliver weapon lifecycle information with minimal replication to engineers, scientists and other users.

Pantex Turns to Data Virtualization for Nuclear Security

With Denodo’s data virtualization tool deployed in its facility, B&W Pantex has managed to securely deliver weapon lifecycle information with minimal replication to engineers, scientists and other users.

Accelerate Mobile & Web Application Development with Linked Data Services

Over the past few years, the demand for applications that run on mobile devices has exploded and there is no sign of this demand decreasing anytime soon. This, coupled with the rapid growth of cloud computing, has resulted in a large number of business applications that live outside the corporate firewall but still require agile access to data in corporate data centers, partner sources and public data like social media. These applications need quick and easy access to this data if they are to evolve rapidly in response to changing user preferences and business needs.

The Intersection of Big Data and Data Virtualization

Real-world big data use cases have moved beyond “possibilities” to multiple use patterns including analytics and low-cost archival storage of large datasets. In all cases, big data is thought of in an ENTERPRISE sense, even if big data analytics that is performed by data scientists is highly focused on a particular entity or problem such as customer behavior, sensor data or trade patterns. Today, data virtualization is playing a key role in exposing big data as abstracted data services using RESTful interfaces and real-time query capabilities to democratize access to this intelligence, and as such has enabled faster enterprise adoption of big data alongside traditional databases, operational systems and BI systems.

Capitalise on Change, Avoid the Disruption

As guests in Computer Business Review, Suresh Chandrasekaran and Suhaas Kodagali, of Denodo Technologies, explain how data virtualization creates an agile environment to deal with unforeseen events.

V is for Big Data Virtualization

Data Virtualization involves separating the physical source of data from its potential applications, with the goal of increasing business agility. It's a twist on the role of master data management (MDM), which is a must whenever one works with datasets of a certain size or diversity.Instead of physically grouping and storing datasets together -- as in one big giant database or data warehouse stored on a big wonking server or cluster -- virtualized data is stored in a distributed manner, across a series of disparate servers.


Why Data Virtualization Is Good for Big Data Analytics

In its report, Data Virtualization Reaches Critical Mass, Forrester Research says, “Integration of big data expands the potential for business insight” and cites this potential as a driver for data virtualization adoption. IT will need to adapt to this reality or become less relevant as business owners increasingly drive technology decisions.

Data Virtualization’s Value: Myth or Reality?

Data virtualization software provides an integrated view of disparate sources of data, regardless of their physical locations. Its abstraction layer accommodates structured, unstructured, and semi-structured data, enabling queries and results in real-time – or caching results for near real-time access.