Big Data is not new to Intel. We have been leveraging the data within our manufacturing facilities, for example, for many years to streamline our operations and boost production. So we have quite a bit of experience building new tools and data engines that help create efficiencies and solve business problems.
But things have evolved in a short amount of time. Data growth continues to mushroom. The cost of storage has come down thanks in part to Moore’s law. And open source technologies like Apache Hadoop have matured quickly.
That means we can do things that weren’t possible before. New platforms make it easier to integrate, structure, and format diverse data sets. Analytical tools are more accessible and capable. And storage is no longer cost-prohibitive.
Capitalizing on an Evolving Data Landscape
In Intel IT we began standardizing and centralizing the collection, storage, processing, and distribution of the company’s many datasets in 2010. We then built a Big Data infrastructure that utilizes Apache Hadoop, Intel® Xeon® processors, a custom analytics engine, and open source analytical tools. The platform allows us to collect and organize data, both structured and unstructured, from a variety of sources in a short amount of time. What used to take months now takes hours or days.
Ron Kasabian, General Manager of Big Data Solutions for Intel's Datacenter & Connected Systems Group, and I talked recently about maximizing the value of big data analytics and the cloud, based on three years of planning and our hands-on experience.
Today we are working to accommodate higher volumes of data, facilitate deeper analyses, and give these capabilities to a greater number of Intel user groups. Aziz Safa, Vice President Information Technology and General Manager, Enterprise Applications and Applications Strategy, explains our team’s big data journey from operating behind the curve to get to where we are able to predict what will happen and direct or influence the outcome. That’s how we apply big data and analytics to million dollar opportunities and how we deliver business value.
Where are you on your big data journey?
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