Planning a Big Data architecture is not about understanding just what is different. It’s also about how to integrate what’s new to what you already have – from database-and-BI infrastructure to IT tools, and end user applications. This whitepaper, discusses adding Big Data capabilities to your overall information architecture, planning for adoption using an enterprise architecture perspective, and describe some key use cases. Download now.
There are four key characteristics that define big data: Volume, Velocity, Variety and Value. Volume and velocity aren't necessarily new problems for IT managers; these issues are just amplified today. The distinguishing characteristics of big data that do create new problems are the variety and low density value of the data. Learn more.
The Oracle Enterprise Cloud Infrastructure offers a much simpler approach that speeds deployment and reduces risk. It is a single-vendor solution for the entire hardware and software stack from application to disk and can be deployed in hours rather than weeks. Find out more
Oracle Database 11g enables IT professionals to deliver more information with higher quality of service, make more-efficient use of their budgets, and reduce the risk of change in data centres. Read about Oracle customer success stories from around the world.
The Database Machine is a complete and fully integrated database system that includes all the components to quickly and easily deploy any enterprise database delivering the best performance and availability. Find out more
Many organisations today use a collection of Business Intelligence (BI) tools and applications to allow experts to gather information from a variety of sources, analyse it, and share it with managers and staff. However, ever-increasing business dynamics and increased competition means businesses now require a much higher level of value from their BI investments. BI must now help drive profitable growth, change, and many other operational and financial performance goals. Not only does BI need to deliver significant Return on Investment (ROI), but it also needs to be deployed in a manner that minimises Total Cost of Ownership (TCO). Read more.
As IT organisations work to maintain application availability while controlling costs, a greater
emphasis on operational efficiency is essential. One key area where operational efficiencies
can be achieved is in the storage infrastructure. Traditional storage systems are inherently
inefficient, with multiple arrays of dedicated storage and various management points. Thin
provisioning is now recognised in the industry as a critical approach to simplifying storage
management while drastically improving capacity utilisation. This white paper explains how Oracle’s Pillar
Axiom 600 storage system creates an application-aware storage environment to most
efficiently provide all the benefits of thin provisioning. Read more.
Your databases store critical financial records, sensitive customer information, and proprietary operational details. This data has an astounding 60 percent compound annual growth rate. Scaling your storage environment fast enough to keep up with this pace of expansion is difficult enough. But you also face the challenge of keeping data safe while staying within budget. No wonder two of the top five business priorities for IT leaders in 2010 were managing data growth and improving backup and recovery. Read more.
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