Welcome!

Recurring Revenue Authors: Elizabeth White, Yeshim Deniz, Pat Romanski, Liz McMillan, Xenia von Wedel

News Feed Item

FAIR Health Selects Oracle Exadata Database Machine and Oracle's Sun ZFS Storage Appliance

Hybrid Columnar Compression Helps Achieve 14x Reduction in Storage

REDWOOD SHORES, CA -- (Marketwire) -- 01/16/13 -- Oracle (NASDAQ: ORCL)

News Facts

  • FAIR Health, an independent not-for-profit corporation dedicated to bringing transparency to healthcare costs and out-of-network reimbursement, has selected the Oracle Exadata Database Machine with a cluster of Oracle's Sun ZFS Storage 7420 appliances for backup to support its database of more than 15 billion claims. An additional Sun ZFS Storage Appliance supports remote disaster recovery and development.
  • FAIR Health's data are used by multiple stakeholders in health insurance, including insurance carriers, third party administrators, healthcare providers, employers, researchers and consumers to process claims, inform pricing models, offer cost transparency and to understand geographic variation in cost and utilization.
  • FAIR Health sought a solution to streamline performance and eliminate the storage bottlenecks in its existing environment.
  • With Oracle Exadata, FAIR Health tested its existing code and achieved significant performance improvements, including a 5x reduction in claims processing time(1) and a 10x faster average performance improvement in applying complex statistical methodologies(2).
  • Using Oracle Exadata's Hybrid Columnar Compression technology combined with the Sun ZFS Storage Appliance, FAIR Health achieved an average of 14x reduction in physical storage space for its primary Oracle Database storage, database backups, and disaster recovery site.
  • The Sun ZFS Storage Appliance's direct InfiniBand connection to the Oracle Exadata and its high-throughput design enables FAIR Health to reduce their backup windows and increase resources available for production workloads.
  • FAIR Health also uses the Sun ZFS Storage Appliance's snapshot and replication capabilities to replicate compressed data to a third remote Sun ZFS Storage Appliance at its disaster recovery location where clones of the Hybrid Columnar Compressed data are used to develop proof-of-concepts for new application functionality.
  • With the increased performance and capacity delivered by the Oracle Exadata and Sun ZFS Storage Appliance solution, FAIR Health will be able to reallocate resources to focus on product development and enhancement, including its expanded custom analytics capability.

Supporting Resources

Footnotes
(1) Oracle Exadata improvement on Upstate Health Research Network Variance Analysis.
(2) Oracle Exadata improvement in product creation when applying statistical methodologies to the Healthcare Common Procedure Coding System product.

About Oracle
Oracle engineers hardware and software to work together in the cloud and in your data center. For more information about Oracle (NASDAQ: ORCL), visit www.oracle.com.

Trademarks

Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.

Contact Info

Michelle Jenkins
Oracle
+1.425.945.8306
Email Contact

Drew Smith
Blanc & Otus
+1.415.856.5127
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time t...
Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors. In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determin...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...