Using this layer, enterprises can develop ... For example, data can be displayed in charts or graphs. Data virtualization enhances productivity in many ways. First, virtualization improves data ...

Mendez shared demos and use ... Data integration and virtualization, for example, is not necessarily their strongest point. Again, McComb has outlined some differences between property graphs ...

and Internet of Things (IoT), and the ability of graph analytics to uncover relationships between data in real-time to drive the growth of the market. However, a lack of technical skills may ...

Ontotext, a provider of enterprise knowledge graph technology and semantic ... Users can access data that is impractical to replicate into a native RDF model or perform batch transformation using a ...

GraphQL, which has nothing to do with graph databases but ... to simplify getting access to data. Now, Hasura, a two-year old company, is building a data virtualization tool around it and last ...

"The next generation of business intelligence depends on doing more with analytics than just putting data on a graph. Data Virtualization ... and automated applications using streaming analytics." ...

How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit ...

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration ...

The Graph Analytics Market is expected to ... growing need to analyze data in real-time, and rapid use of virtualization for big data analytics. Based on deployment mode, the cloud-based segment ...