Banks Use Hadoop To Unlock Big Data Secrets
When Zions Bancorporation felt limited by traditional database technologies, it used Hadoop tools for deeper analysis of its big data.
"With the promise big data is poised to bring," says Lockner, "organizations are exploring their options for solving business challenges with emerging [data] technologies. It's just not practical or cost-effective to use traditional [database] platforms and technologies that were designed before the big-data era."
More Software Insights
- Rising to the challenge of RMORSA - leveraging existing capabilities and building new ones
- BYOD and Windows 7 Migration are the Questions. Is Desktop as a Service the Answer?
- Don't Get Stuck on Your Virtualization Journey: Where to Focus Next
- 5 Ways To Solidify Your APM Strategy With SaaS
Enter Apache's Hadoop, the open-source software framework named by its creator after his son's toy elephant. According to Lockner, the highly scalable Hadoop permits running analytics on massive data sets effectively and efficiently, whether that data is structured or unstructured.
"Where traditional databases hit their limits, Hadoop starts to emerge as a much better fit for solving unique analytics challenges," Lockner says. "Because data can be incorporated from multiple sources with varying types of data structures, Hadoop enables more analysis across multiple data feeds in a single platform -- solving some of the toughest data integration challenges commonly associated with relational data warehouse architecture."
More than 700 IT pros gave us an earful on database licensing, performance, NoSQL, and more. That story and more--including a look at transitioning to Win 8--in the new all-digital Database Discontent issue of InformationWeek. (Free registration required.)