TDWI Best Practices Report Managing Big Data

TDWI Best Practices Report | Managing Big Data

October 1, 2013

Many organizations now have massive volumes of application data to manage and to leverage for business value. Although organizations have the skills for structured data (which is what comes out of most operational applications), today’s unprecedented data volume and speed of generation make big data management a challenge.

Big data comes from many sources, in many formats. Some industries have large, valuable stores of unstructured data, typically in the form of human language text. GPS and RFID signals now emanate from mobile devices and assets—ranging from smartphones to trucks to shipping pallets. The swelling swarm of sensors worldwide (plus the extended “Internet of Things”) produces outrageous volumes of machine data, which is further compounded by the fact that many sensor sources stream big data in real time and have schema-free data formats.

This Best Practices Report focuses on how organizations can go beyond just accumulating and reporting on big data to fully leveraging this asset to reap the benefits of improved recognition of sales and market opportunities and more accurate business insights.

This report accelerates users’ understanding of the many options that are available for big data management, including old, new, and upcoming options. The report brings readers up to date so they can make intelligent decisions about which tools, techniques, and team structures to apply to their next-generation solutions for big data management. It includes real-world use cases to demonstrate how organizations are enjoying the benefits of visual discovery, from rapidly growing their business to improving insights and enhancing collaboration.

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