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» Big Data Made Easy
Big Data Solutions
Big Data means Big Opportunity
Today practically every business problem, challenge – or discovery – imaginable can be readily modelled and solved with access to immense compute capacity. The ability to include access to rapidly growing volumes of data during analysis enables new science and insights for enterprises in every market.
Univa customers have long been using technology to accelerate time-to-market, solve grand problems and to look for the value can be driven from data. Being able to see 'inside the data' requires the same computational architectures and capabilities that have been used to solve technical computing needs for years. After all, Hadoop is a cluster and there are thousands of clusters using Grid Engine to manage them today.
Big Data Meets Big Compute
Univa helps enterprises and other organizations analyze and discover new products and technologies that have led to new innovations in products, business models, improve time-to-market and increase margins.
Univa software is unique because it simplifies the challenges enterprises face when adopting Big Data solutions like Hadoop.
The application’s design goal was to enable “new science” as the amount of data to be
computed was at a scale not practically supported without Hadoop.
At the point of deployment the team had to devise a model that would support the CIO’s mandate of a single system. Univa Grid Engine Genomics Customer
Where do you host the applications?
Buy another cluster?
How do you share?
Building and managing clusters is what our customers do and its what we know. Univa Grid Engine unifies Big Compute and Big Data workload management by making it possible to fully leverage and share existing clusters – ensuring the infrastructure is future-proofed.
The explosive growth of scale-out computing and data analytics has created a costly management issue – one that puts both status quo and organizations at risk. In this Big Data world that is so dependent on computational assets, should core services fail your business risks grinding to a halt. Organizations need resiliency built into the systems and products they depend on, and a readily accessible, expert support solution for core services. This is where Univa comes in to the picture.
Univa Builds Mission Critical Infrastructure
The foundation of Big Data is infrastructure. Without the infrastructure there is no support for the applications that run on top of it. Infrastructure is hardware and software that includes industry standard servers, storage, networking and clustering software. The most important element is the software that supports the applications. This is where Univa lives.
"If we didn't have Grid Engine it would be a major investment to go live with Aggregator and Hadoop." Katrina Montinola, Archimedes
Univa Grid Engine is a platform used to manage the sharing of high demand resources across business units, groups and priorities. Univa Grid Engine is deployed in support of all types of mission critical computing – from technical computing applications that design new safe cars or electronics we use every day; enterprise applications that coordinate fleet and crew; converged infrastructures that support both Hadoop and other applications.
Benefits
As Big Data technologies enter the enterprise, they must coordinate and integrate with existing systems management best practices in the data center. While benefits from Big Data applications are immense they can be quickly undermined by poor utilization in a silo or the inability to share.
Univa offers a range of benefits to Big Data applications
- Shared infrastructure reduces the costs of deploying Hadoop by up to 50%
- Policy driven scheduling increases utilization and control
- Support for dynamic and multiple instances of Hadoop and other applications on a shared cluster
- Sharing supports high utilization and resource availability
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