Inside Intel IT, we have been investing in how and where to incorporate big data analytics solutions into many of our business areas.
Inside Intel IT, we have been investing in how and where to incorporate big data analytics solutions into many of our business areas. The big data specific characteristics of volume, velocity, and variability exist in many different parts of our business and while many Internet companies have been utilizing big data solutions for a number of years, enterprise IT shops have just begun to adopt, support, and enable these concepts to our advantage.
When the Open Data Center Alliance members opted to start up a workgroup for data services, we were quite excited. We were excited by the opportunity for a number of large enterprise shops to get together and start setting requirements. These shops have the opportunity to define clear usage models on when and how to use big data solutions.
Like any other "new" area of technology, we start with a lot of hype and attempts to fit the technology into every solution and unfortunately, sometimes into no solution. It is clear to me that we have a large number of areas that can benefit from big data solutions, while continuing our usage of our traditional data solutions has its value as well. As we continue down this path of hyper-evolution of technology, it is becoming clear that one shoe size does not fit all. We are starting to see a much wider set of tools to handle the tough challenges that IT shops have in enabling their businesses to be near real-time in business decisions and on the forefront of capabilities.
The first area the workgroup will be focusing on is quite compelling as a part of this robust tool set being built. At Intel IT, we expect to adopt many parts of the work being completed that will enable a shift in the workforce allowing many different types of people to conduct analysis. From a manager wanting a current report before an important meeting to a data scientist looking for deep correlations in bugs and user activity, it is important to create a path for this wide range of users and to help IT shops prepare for the skills and tools necessary to enable this wide set of expectations and user skill levels.
The interoperability between traditional data solutions and big data services is another key area that the Open Data Center Alliance Data Services Workgroup will focus on. Most of us agree we need an environment that has both types of solutions working together in order to reap the greatest benefit. Fortunately the industry is moving down this path, but the Open Data Center Alliance will help get even more traction in making this real.
A third area that will also see benefit is simply working out how to manage and operate a big data solution. The ranges of solutions will be wide. However, the usage of solutions that are designed for failure is new to many enterprise IT shops. I look forward to many more IT shops becoming familiar with resilient software and scale out architecture. This is the way of the future for cloud and big data and it is happening right now.
There is a lot of activity kicking off, with excellent goals and passion that will make this real. Let's do this!
If you want to hear more and discuss this with industry leaders I hope to see you at Forecast 2012 in NYC on June 12th. If you haven't already registered for the event head over to the Forecast 2012 page for more details and to register.
Das Kamhout is the Intel IT Cloud lead. In this role he leads the architecture, strategy and execution of the Intel IT Cloud Journey. In his 15 years at Intel he has been responsible for everything from the clients that Intel IT uses, to the architecture that Intel's Design Grid runs upon.
The above insights were provided to InformationWeek by Intel Corporation as part of a sponsored content program. The information and opinions expressed in this content are those of Intel Corporation and its partners and not InformationWeek or its parent, UBM TechWeb.
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