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Making Sense of Big Data
Sean Deuby
December 13, 2013

Wednesday at HP Discover in Barcelona, Microsoft director of emerging technologies Doug Smith presented a session to help make sense of all the hype around big data. As big data is receiving the kind of both hype and skepticism that cloud computing received a few years ago, it’s a welcome session to see.

Big data is the recognition that we’re awash in data that’s being created faster than ever before in human history, and that it’s not only the amount of data but the different types of data we’re receiving. In particular, much of this new firehose of data is in unstructured form (not in a relational form or in column or rectangular format). Now only do we need to figure out how to handle it…how do we take advantage of it? If you haven’t spent any time with big data, it’s very helpful to understand the general data science process of 1) finding, combining, and managing all that data, 2) form theories on the data, analyze it, and refine your theories, and 3) take action on what you’ve learned.

Ascribe, a software vendor in the UK, built an innovative solution using hybrid cloud technology that analyzes both structured and unstructured patient data (for example, during a meningitis outbreak) in near real time to feed a dashboard for workers from the National Institute of Health, enabling them to track and control the outbreak. Their hybrid solution uses Windows Server 2012 and SQL Server running on on-premises hardware combined with cloud services to handle data collection, management and processing, and Microsoft Office to provide the analytical tools to gain critical insights on all this data.

HP CloudSystem optimized for Microsoft is a perfect platform for such a big data solution. It’s built on proven HP Cloud Service Automation software and the HP Converged Infrastructure, and manages private or hybrid clouds with an open, heterogeneous architecture. It lets you deliver self-service applications and adds enterprise-grade infrastructure-to-application lifecycle management. You can start building your own hybrid cloud big data solution by starting with the CloudSystem Matrix to create an IaaS (infrastructure as a service) cloud, then add functionality for PaaS (platform as a service) and SaaS (software as a service), including comprehensive and unified cloud management, with the HP CloudSystem Enterprise Starter Suite. The experts at HP CloudStart services can help speed your deployment even faster.