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Cloud Computing
Conference & Expo
November 2-4, 2009 NYC
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2008 West
DIAMOND SPONSOR:
Data Direct
SOA, WOA and Cloud Computing: The New Frontier for Data Services
PLATINUM SPONSORS:
Red Hat
The Opening of Virtualization
GOLD SPONSORS:
Appsense
User Environment Management – The Third Layer of the Desktop
Cordys
Cloud Computing for Business Agility
EMC
CMIS: A Multi-Vendor Proposal for a Service-Based Content Management Interoperability Standard
Freedom OSS
Practical SOA” Max Yankelevich
Intel
Architecting an Enterprise Service Router (ESR) – A Cost-Effective Way to Scale SOA Across the Enterprise
Sensedia
Return on Assests: Bringing Visibility to your SOA Strategy
Symantec
Managing Hybrid Endpoint Environments
VMWare
Game-Changing Technology for Enterprise Clouds and Applications
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Event Webcasts

2008 West
PLATINUM SPONSORS:
Appcelerator
Get ‘Rich’ Quick: Rapid Prototyping for RIA with ZERO Server Code
Keynote Systems
Designing for and Managing Performance in the New Frontier of Rich Internet Applications
GOLD SPONSORS:
ICEsoft
How Can AJAX Improve Homeland Security?
Isomorphic
Beyond Widgets: What a RIA Platform Should Offer
Oracle
REAs: Rich Enterprise Applications
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In many cases, the end of the year gives you time to step back and take stock of the last 12 months. This is when many of us take a hard look at what worked and what did not, complete performance reviews, and formulate plans for the coming year. For me, it is all of those things plus a time when I u...
SYS-CON.TV
Thoughts on Big Data and Data Virtualization
Creating an enterprise data ecosystem that is automated, integrated and secured

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.

About Steven Yaskin
Steven Yaskin is CTO of Queplix Corporation, which offers a suite of software tools and professional services to help companies deliver customer care with contact centers, help desks, and eService. For more information, visit www.queplix.com.

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