|By Steven Yaskin||
|January 31, 2012 05:30 AM EST||
Big data and emerging data integration capabilities make it possible to generate insights from vast quantities of data, something that was not possible before and ultimately changing the way companies use information. The big data industry is seeing a boost in development and adaption recently, even though the technology was created years ago. This boost is driven by ever increasing amounts of data and the need to process it in flight and integrate with traditional data repositories, all with scalability and performance in mind. Today's market requirements are to process petabytes of data in milliseconds without impacting enterprise data warehouses.
Big data (map/reduce) combined with new data management technologies enable Business Intelligence vendors to operate on large volumes of data and even virtually integrate the data with traditional datawarehouses. IT departments integrating big data with already-stored data can enable new forms of analysis such as forecasting and predictive modeling. However, it is not possible to achieve the desired levels of scalability and performance using traditional RDBMS when working with large volumes of data.
Queplix Virtual Data Manager provides a data management solution continuum, starting from data integration of multiple disperse data sources all the way to Master Data Management solution. All in a single "dashboard" view. We have an automated object-oriented representation of business objects through NoSQL, abstracted from multiple sources and stored in a persistent metadata repository. Queplix Virtual Data Manager operates with minimum disruption to data sources in an automated fashion.
One of Queplix product's strengths is in our ability to intelligently identify and abstract business objects from a variety of data sources, using intelligent Queplix Application Software BladesTM. In doing so, we eliminate the need to deal with proprietary data storage formats and to copy large amounts of data in order to make it available for analysis.
The other synergy between Queplix Virtual Data Manager and big data technologies is in our NoSQL approach to data management. Let's consider an example of Jaspersoft BI:
"Jaspersoft's vision goes well beyond big data. Our modern architecture and agnostic data source support is tailored for the cloud, from IaaS to PaaS, either public or private variations. In particular, NoSQL support puts us in the driver's seat to become the de facto embedded standard for reporting and analysis within PaaS cloud environments." - Brian Gentile, CEO of Jaspersoft
Jaspersoft's BI engine can be deployed with Hadoop-databases and in order to work effectively with large data sets it needs to utilize abstraction of business entities into Jaspersoft's domains. Queplix Virtual Data Manager is built on the NoSQL architecture and can provide the abstraction required from Jaspersoft and other BI vendors today. By utilizing Queplix Virtual Data Manager and our Application Blades for NoSQL data sources and, we can now enable BI vendors to virtualize big data repositories and create virtual catalogs (domains and universes) in record time. Queplix can help any c and integrate it with traditional data warehouses. Each step in this process leads to an enterprise data ecosystem that is automated, integrated and secured.
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, data security and privacy.
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