Conversations around big data are shifting from "what is big data?" to "what can I do with big data?" Five key use cases have emerged that hold high potential value for many organizations. Eric Sall, vice president of product marketing at IBM, describes those high-value uses for big data. For
While “a single version of the truth” might sound reassuring, relying on such a strategy can seriously impede real-time businesses. For many missions, it’s time to embrace a plural version of the truth.
Will this be the year of the “big data hybrid”? What will become of cross-scale architectures and next best action? Will governance finally take center stage? And will data scientists still be sexy? James Kobielus looks at all this and more in his predictions for 2013.
For 27 years, at a site bordered to its south by the bank of the Moskva River, a deep hole and sparse foundations spoke of a country whose resources proved insufficient fuel for its leader’s vanity. In 1812, when an early and hard winter forced Napoleon Bonaparte’s army out of Russia, Emperor
The need to innovate and stay ahead of customer demands is even more imperative today. IDC estimates that “in 2012 the digital universe will grow to 2.7 zettabytes.” As customers and the market as a whole generate data, companies are compelled to capture and analyze an ever-greater percentage of
Big data is the core of your new enterprise application architecture. In the broader evolutionary picture, analytics and transactions will share a common big data infrastructure, encompassing storage, processing, memory, networking and other resources. More often than not, these workloads will run
Expertise is precious and hard-won. Perhaps you’ve cultivated it in-house through long-term investment in staff skills and training, in which case you risk having it walk all out the door at any time. Perhaps you’ve recruited experts externally, and paid a premium for their specialties. Perhaps you
According to several research firms, 70% of traditional data warehousing/Business Intelligence projects were considered failures. Fundamental to every data warehousing project is a basic and simple concept – “data integration.” Data integration technology became fundamental as data complexity,
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I went deeper on information glut, Hadoop uber-alles, experience optimization, sexy statistics, and complex event processing:
August 20: Information glut? You don't need lots of data to
developerWork's Scott Laningham interviews IBM Big Data Evangelist, James Kobielus, on why big data is so important, the role of Apache Hadoop and IBM BigInsights in making sense of big data, the evolving role of the data scientist, and and where data warehousing and big intelligence fit in.
Fiserv, a leader in the financial services industry, is using an IBM InfoSphere Warehouse solution built on IBM DB2 as part of a solution to turn billions of transactions into actionable insights that help banks better target offers and maximize their marketing dollars. The use of cloud