In the education sector, unifying data can produce a range of valuable business assets, but the process has been distinctly difficult to manage.
Many organizations see the hybrid cloud and multi-cloud models as critical to their present business requirements, and to their future ones too.
Alberto Pan, Chief Technical Officer at Denodo, discusses why data virtualisation makes sound business sense.
According to Ravi Shankar, chief marketing officer at Denodo, “We started off with the databases, now we have expanded into unstructured sources like streaming data coming in, and then we went into Hadoop NoSQL data repositories. Then came the cloud. Now it’s the Internet of Things where the devices are generating a lot of data.”
As business needs have shifted and come to rely on data as the single biggest asset driving successful outcomes, the data landscape has shifted as well.
Denodo, the leader in data virtualization software, today announced that Illumina, one of the most prominent global biotech companies, will share how they built a semantic layer across their entire data landscape using data virtualization on August 12, 2019. Mike Sofen, Senior Staff Data Architect at Illumina, will present “Data Virtualization in Support of Data Architectures and Analytics.”
Denodo, the leader in data virtualization, today announced that Gartner, Inc., a leading IT research and advisory firm, has once again positioned the company as a Challenger in its 2019 Magic Quadrant for Data Integration Tools. Placing them furthest for completeness of vision in the Challengers quadrant, the report found, “the data integration tool market is resurging as new requirements for hybrid/intercloud integration, active metadata and augmented data management force a rethink of existing practices.”
Microsoft and Denodo were virtually overlapping in Gartner’s 2018 Magic Quadrant, though Denodo has separated itself slightly with a rightward move toward the leaders column. Denodo is now just a stone’s throw away from challenging Talend and Oracle in 2020.
Data virtualization is a modern data integration and data management technology that enables data catalogs to provide real-time access to listed data assets and enable queries across all available data sets.
The ultimate goal of a data virtualization architecture, which can provide integrated views of data from different source systems, is to enable users and applications to access data without having to understand the intricacies of the underlying data technology.