Open source software company Red Hat is making some big promises around its JBoss Data Virtualization 6 platform for big
access across disparate data sources. The promised result: faster actionable insights.
Data is spread across organizations in various big data and traditional stores such as Apache Hadoop, relational databases and NoSQL stores such as MongoDB. Often, and the challenge is integrating and transforming data for access and productive use.
The difficulty of making this data accessible to external , such as analytics and business intelligence software, can be barriers to effectively leveraging these technologies to extract valuable and actionable from the data. Red Hat is confident JBoss Data Virtualization helps solve this problem by allowing for simultaneous access to these disparate stores.
“Information management and delivery are critical functions of modern business operations,” said Craig Muzilla, senior vice president, Applications Platform Products Group at Red Hat. “If organizations are going to have any success translating meaningless data into actionable information, integration tools like JBoss Data Virtualization play a key role in making the data readily accessible.”
Data to Actionable Insight
JBoss Data Virtualization offers native out-of-the-box connectivity to various data sources with diverse access methods and models. According to Red Hat, data from these sources is abstracted and presented in a way that frees developers to focus on the creation and delivery of their applications without having to know the technical and compatibility nuances associated with each data source and type.
Red Hat ticked off a list of IT projects and initiatives JBoss Data Virtualization supports, including self-service business intelligence, a unified 360-degree view, agile service-oriented architecture applications, and better compliance control.
"The volume, velocity and variety of data in the enterprises are on the rise. The need to transform this data into actionable insight is a top priority for today's CIO,” said Karl Van den Bergh, vice president of Products and Alliances at Jaspersoft Corp. “Red Hat and Jaspersoft bring together a comprehensive and easy-to-use solution that delivers ‘data to actionable insight,' helping to turn an organization's untapped and underutilized data into competitive advantage."
Easing Enterprise Pains
We caught up with Brad Shimmin, a principal analyst at Current Analysis, to get his take on the new roll out. He told us Red Hat is leveraging its strength -- creating a mostly open source platform that can very easily tie together disparate data and application sources.
“Red Hat is creating this vendor agnostic, unifying platform -- and that’s really important at a lot of levels. They can go into a company that, for example, has invested in IBM and SAP BI solutions and allow them to easily create a unified data layer to serve both of those BI tools,” Shimmin said. “That’s a pretty powerful.”
It’s powerful, Shimmin said, because of the strong move toward heterogeneous mashed up data sources coupled with strong reliance on mobility and self-service to try to put more data into the hands of more users. That move is creating a lot of problems for enterprises at the data level that many BI solutions don’t pay attention to. Many solutions focus on looking at the data that is served up rather than marshaling the data and making sure it adheres to certain governance and mandates.
“What Red Hat is doing here is very nice. In separating this out from its middleware platform, they are going to open up a lot of doors with business buyers instead of just IT departments and developers, particularly surrounding any big data projects they have going on. That will, of course, compete with some of the larger platform payers like Oracle, IBM, SAP and others who already have strong integration technology,” Shimmin said.
“But it creates opportunities for some of the pure plays out there like Qlik and Tableau that specialize in data visualization and discovery. They could partner with Red Hat. If they could get together, that would make a pretty powerful combination and would certainly allow Tableau and Qlik to better compete with some of the larger horizontal channels as well as open up new channels for Red Hat ," he added.
Posted: 2014-02-12 @ 7:38pm PT
Quick note: JBoss Data Virtualization is fully open source, not mostly open source.