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.
IBM® WebSphere eXtreme Scale provides a powerful, elastic, high-performance solution for scalability issues through caching and grid technology. This IBM Redbooks® publication shows architects and IT personnel how to leverage the power of WebSphere eXtreme Scale technology to enhance data caching performance in their enterprise networks. Learn more about the challenges and benefits of integrating WebSphere eXtreme Scale with other middleware products.
Virtualisation has been progressing rapidly in today's datacentre. There has been tenfold growth in
virtual machine deployment over the past decade while the physical server base has remained flat. In
today's environments, many IT organisations are reaching the end of the first phase of virtualisation
adoption, which is focused primarily on workload consolidation supported by multiple VMs per physical server. Read on.
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
Private clouds enable on-demand access to a shared pool of servers, storage, applications or IT services.
Database consolidation streamlines IT infrastructure by reducing the number of databases and the number of database servers. Companies that have consolidated databases in a private cloud have cut downtime, management costs, security risks and capital expenses. At the same time, they have increased performance, availability, data quality and decision-making agility. Read more.
This case study will focus on one organisation that recently chose to go the database packaging route. The study highlights the challenges facing the organisation, and illustrates how the Oracle Database Appliance offered the tools and features that exceeded the expectations of the organisation, both in cost savings and in better overall use of IT manpower. Read more.
See for yourself how much you can save with compression technologies. This tool illustrates typical storage cost associated with your data, as we as the time it takes to back up your databases, it allows you to compare the savings that are possible using compression technologies. Download now.
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