Posted by jaymepobre748 April - 5 - 2016 ADD COMMENTS

Residential Life to offer senior RA position for upcoming year
“[The senior resident assistant position] sounds like it would be a good opportunity for RAs to practice leading and organizing groups,” sixth-semester HDFS major Erinn Hines said. “These are important skills that RAs across all majors can benefit from …
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Strata Preview: Resolving Hadoop's Storage Gap
Kudu complements Apache HDFS and HBase, providing a new option which can achieve both fast analytic scan performance as well as fast random access in a single system. Kudu will enable companies to easily store and analyze fast-changing and …
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Posted by BlairMABEL25 December - 11 - 2014 ADD COMMENTS


CAMBRIDGE, Mass. (PRWEB) December 10, 2014

Cambridge Semantics, the leading provider of smart data solutions driven by Semantic Web technology, and SPARQL City, providers of a high performance scalable Hadoop-based graph database infrastructure, today announced a collaboration to jointly offer an integrated graph analytics solutions with semantic understanding to help enterprises get better understanding and value from big data.

Cambridge Semantics offers the award-winning Anzo Smart Data Platform (Anzo SDP), leveraged by customers and partners for building interactive Smart Data solutions that help enterprises rapidly discover, understand, combine, analyze, link and manage data from diverse sources, both from within and across organizational boundaries. SPARQL City’s Hadoop-based graph analytics engine provides a simple and powerful way for people to query semi-structured and structured data and find more nuanced relationships within and across these datasets in easy-to-grasp graphical representations.

“As data continues to grow, our customers are continually seeking affordable approaches to handle the scale and speed of querying to tackle larger and more complex problems,” said Alok Prasad, president of Cambridge Semantics. “The SPARQL City team has a very successful track record in building highly scalable, performant analytic systems and that is enabling us to jointly solve new problems for our customers at big data scale.”

The combination of Cambridge Semantics’ Anzo SDP and SPARQL City’s graph analysis capabilities can benefit any business seeking insight from big data search, analysis and data management, including:


Pharma and life sciences: The joint solution allows for more agile, big data scale, business self-service applications for R&D drug discovery and investigations, competitive intelligence, clinical trial data processing, and creating various investigative and graph-based solutions. Enterprises can simply add additional nodes to handle more data as their data needs grow.
Financial services: The combined platforms can allow for more agile, enterprise-wide, business self-service for regulatory reporting, compliance and risk analytics, investigative solutions for fraud/insider trading, and mining of diverse data sources both inside and outside of the enterprise.

“Cambridge Semantics has built a compelling smart data platform that allows their customers to rapidly work with all of their data to uncover new and more meaningful insights,” said Barry Zane, president and CEO of SPARQL City. “The marriage of Anzo Smart Data Platform with our standards-based graph analytics engine will enable our customers to more quickly and easily translate untapped raw analytical potential in areas involving unstructured data and/or graph analytics into business impact at real-world scale.”

Both companies’ solutions are aligned with standards set by the World Wide Web Consortium (W3C).

About SPARQL City

SPARQL City is based in San Diego, Calif. with offices in Marlborough, Mass. SPARQL City is a provider of a Hadoop-based graph analytics engine that brings to bear the performance and ease-of-use characteristics of massively parallel analytic databases on the world of graph data. The resulting product is built around modern open standards and delivers orders of magnitude improvements in performance and scale over existing solutions while running on commodity hardware. This opens up new possibilities in the world of graph processing and big data analytics. For more information, visit us at: http://www.sparqlcity.com.

About Cambridge Semantics

Cambridge Semantics (CSI), the Smart Data Company, is an enterprise analytics and data management company. It enables customers and partners to rapidly build interactive, real-time smart data solutions based on its Anzo Smart Data Platform (Anzo SDP).

IT departments and business users gain better understanding and data value through the semantic linking, analysis and management of diverse data whether internal or external, structured or unstructured. The Anzo SDP smart data solutions are delivered with increased speed, at big data scale and at the fraction of the implementation costs of using traditional approaches.

The company is privately held and based in Boston, Massachusetts.

For more information visit http://www.cambridgesemantics.com or follow us on Facebook, LinkedIn and Twitter: @CamSemantics.







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Posted by BlairMABEL25 September - 13 - 2012 ADD COMMENTS

Boulder, CO (PRWEB) August 22, 2012

Precog, the market-leading provider of analytics as a service, today announced that it has partnered with GridGain Systems, a real time big data software company, to offer a real-time data analysis solution. Labcoat by GridGain is a breakthrough analytics platform created from the fusion of two best-in-breed technologies: the data analysis technology of Precog, and the in-memory big data technology of GridGain.

With an interactive environment for data analysis, Labcoat empowers data analysts, data scientists, and business users to integrate, analyze, and visualize massive volumes of structured or semi-structured data. Powered by GridGain’s highly-scalable, in-memory data platform, Labcoat helps businesses answer their deepest questions with real-time performance and Enterprise-class scalability.

GridGain has proven itself the platform of choice for real-time big data applications. More Fortune 500 businesses rely on GridGains in-memory big data platform than any other vendor, said Nikita Ivanov, Founder & CEO of GridGain. Now with Labcoat, GridGain has the unprecedented ability to perform sophisticated analytics with a simple user-interface and no coding.

The Labcoat environment with the Quirrel evaluation and execution engine is sourced from Precog, while the in-memory scalable data grid is sourced from GridGain. The fusion of the two technologies is seamless and the entire package is available as a single download (no installation is required for Labcoat, as the software is web-based).

For decades, companies have used legacy SQL systems to analyze data. But legacy systems cant keep up with todays exploding volumes of data, and they can only answer simple questions about data. says John A. De Goes, CEO of Precog. With Labcoat by GridGain, companies can now mine any amount of data to find answers to the deepest of questions, with blisteringly fast performance. Its a revolution in data science.

To learn more about Labcoat by GridGain, please visit the Precog website at http://www.precog.com and contact us to receive more information. To experiment with the Labcoat application, please go to labcoat.precog.com

About Precog:

Precog is the leading provider of analytics as a service, helping developers incorporate intelligence and insights into their applications. Precog employs the original authors of the Quirrel language, and has developed the industry’s most complete and heavily-optimized execution stack for the Quirrel language. In addition, Precog develops Labcoat, a highly-interactive, collaborative data analysis environment. For more information, please visit http://www.precog.com and follow Precog on Twitter @precogio.

About GridGain:

GridGain develops scalable, distributed, in-memory data platform technology for real time data processing. The companys Java-based middleware products enable development of applications and services that can instantly access terabytes to petabytes of information from any data source or file system, distribute computational tasks across any number of machines, and produce results orders of magnitude faster than traditionally architected systems. GridGains customers include innovative web and mobile businesses, leading Fortune 500 companies, and top government agencies. The company is headquartered in Foster City, California. Learn more at http://www.gridgain.com and follow GridGain on Twitter @gridgain.

Media Contact:

Precog

Tasha Danko, 720-936-1131

marketing(at)precog(dot)com

or

GridGain Systems, Inc.

Jon Webster, 650-241-2281, ext. 2011

jwebster(at)gridgain(dot)com







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