The power of Hadoop lies in its ability to help users cost effectively analyze all kinds of data. We are now seeing the emergence of a new class of analytic applications that can only be enabled by a comprehensive big data platform. Such a platform extends the Hadoop framework with built-in analytics, robust developer tools, and the integration, reliability, and security capabilities that enterprises demand for complex, large scale analytics. In this session, we will share innovative analytics use cases from actual customer implementations using an enterprise-class big data analytics platform.
by Brian Christian and Preston Wood
Zions Banks’ Hadoop based security data warehouse is a massive minable database used to aggregate event data across their entire enterprise; for long term large-scale security, fraud and forensic related analytics. The utility of this system is realized once the data is normalized into a common format and mined by experts with intimate understanding of the data itself. By using the SDW powered by Hadoop the seasoned IT professional can now get creative on new ways to look at their data, there are no more limits to what can be explored in their enterprise, no data source is off limits due to the expense. Historically, doing this type of storage and analysis would be impossible due to cost and resource constraints, those handcuffs are gone now. Tackling big data can be intimidating but the rewards are worth the work. The data deluge is never going to slow down and getting your arms around your enterprise data and how that data can be inspected and analyzed delivers specific answers to many of the common threats we see today. APT’s, Malware, exploited tokens, all leave a trace, now you just need to start asking the questions.