By creating a framework to undertand member, employer and proivder data, the company was able to move from a claims-centric data warehouse architecture to one that is information-based and enables them to integrate the data sources faster, allowing the use of more comprehensive information.
My first stop in finding patterns relevant to the perfect big data storage architecture was Quantum Corp.
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Would Data Vault be an architecture to use for the data lake?
By fusing all this data, the SiRFstarV architecture is able to take location and navigation to the next level, providing precise location and navigation indoors as well as outdoors.
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The question that interests me now is how can we craft a meaningful architecture for a data lake?
By enabling a security architecture centered on data control, IT solves longstanding security problems through empowering the environment to protect sensitive data regardless of access method, device, network, ownership or location.
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Utilizing a common de-dupe and compression architecture across your data center can enable your organization to use fewer network resources, reduce your storage footprint, and lower the power and cooling cost of storing your data.
If information architecture (Big Data or small) talent is not present in your organization, then it will serve you well to hire external consultants to design the information flow and then your internal team can execute against that.
Instead of remediating bad data, businesses, government agencies and research institutions need to create an information architecture that allows them to follow their data as it moves among different users in their organizations.
The current toggle DDR 1.0 specification applies a DDR interface to conventional single data rate (SDR) NAND architecture.
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It can be part of a self-hosted, on-premise architecture, with all data stored on location and protected behind a corporate firewall.
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First, Web innovators, such as Facebook, Google and Yahoo, have developed a massively scalable storage and compute architecture to manage Big Data: Hadoop, which parallelizes large data sets across low-cost commodity hardware for easy scale and dramatically reducing the cost of petabyte environments.
The transformation involved moving from the paradigm in which the application ran with a local file system to an architecture in which any data needed was fetched in advance from slower and more variably performant remote storage and then storing what was needed in memory.
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An internal NYSE system architecture gave one of the data feeds a faster path to customers than the path used to send data to the consolidated feed.
The time has come to evolve security: a new IT architecture is required that focuses on data control.
Fusion-io speaks to the new architecture powering cloud, mobile, big data, and social media.
Kx uses a single architecture for both real-time and historical data.
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For starters, there are privacy concerns surrounding the fact that this kind of split architecture has the potential to capture private user data.
VirtualWorks sounds like it is somewhat the same business, but the key difference is its information organization system, an architecture that seeks to unify all types of data across a company.
Obvius has pioneered a portfolio of plug-and-play data-collection and communications applications based on an open architecture, which allow users to monitor electric, water, gas, environmental and renewable energy information through a single, web-accessible platform.
They will consider expanding cooperative efforts in theater missile defense technology and exercises, study ways of sharing data obtained through early warning systems, discuss theater missile defense architecture concepts, and seek opportunities for joint research and development in theater missile defense.
Thanks to the cut-through architecture of ioMemory, the Fusion ioFX provides low-latency data performance tuned to manipulate digital content on the fly.
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Densest GPU system architecture: NVIDIA GRID provides the highest number of concurrent, interactive data streams by using multi-GPU servers and sophisticated NVIDIA VGX GPU-sharing technology.
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Counter intuitively, the hardest part of realizing a decent data infrastructure is not the hardware or technology choice, but the design and architecture of your information system.
The training provided the participants with the overview of the grid network, the architecture of the gLite middleware, an introduction to job submission, data management and grid workflows, the concept of virtual organizations and the virtual organisation management system, as well as practical exercises on the use of gLite on the GILDA testbed.
Additionally, the new line-up of Opteron chips based on the Bulldozer micro-architecture further strengthens AMD?s ability to offer greater choices to a data-starved base of enterprises and growing cloud customers.
Not only will all of the current Iridium legacy services be supported by the NEXT architecture, according to Traherne, but new kinds of services may be introduced with higher data rates and capabilities.
In addition to a higher storage capacity than past LTO generations, LTO 5 also offers new architecture features such as the LTFS file system that turn magnetic tape into a directly addressable data source, like a hard disk drive.
Even Microsoft is getting into the game with its Parallel Data Warehouse (PDW) that enables SQL Server customers evolve their SQL databases to Massively Parallel Processing (MPP) architecture to take advantage of commodity hardware.
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