Business intelligence firm Jaspersoft has extended its embedded analytics offerings to the most widely used big data formats including Hadoop, MongoDB and Cassandra.
The firm's latest updates include native connectors through a virtualisation layer to many other popular big data formats. Jaspersoft says its aim is to "democratise" big data analytics for workers who have not previously had the skills to make use of vast swathes of business information.
The company intends users to be able to combine big data-friendly NoSQL databases with more traditional data sources in order to allow firms to get as much insight into their information as possible.
Jaspersoft chief executive Brian Gentile told V3 demand for big data tools had reached a level which justified the developments. "The combination of big data types and traditional big data types are crucial for solving business problems," he said.
"We worked hard to provide connections to all data types because we fundamentally believe that bringing all data together inside of an application is the best way to give people more strength in analysis.
"Every customer visit and call I make includes a discussion on big data, and all these multi-structure big data types are becoming popular. I can't imagine a discussion without the mention of big data types."
Self-service big data analytics has become increasingly important for larger businesses with non-technical departments – such as marketing – requiring a large amount of data in order to create successful campaigns or solve other business problems. Vendors are now honing in on this area, looking to make analytics more accessible.
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