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What are the opportunities of data refinement from the IT point of view? Does self-service data refinement devalue IT? Does it simply create more work for IT, cleaning up after business users who have run amuck?
Data refinement is one of the most important revelations in the big data market. The idea is simple: you want to take advantage of and use all sources of big data. But when each individual user needs only information relevant to them, what’s needed is a data refinery. It automatically cleans,
Last month I introduced the Big Data for Social Good Challenge and since then it has opened for submissions with data sets from around the globe plus lots of prize winning opportunities. You might have seen that Chip and Jason are in—are you?
Last month at Insight 2014, IBM made an exciting announcement: IBM DataWorks is available now. The reaction was overwhelmingly positive; clients who have or will soon have a data lake were very keen on the notion of data refinement. In fact, a data refinery is a natural fit with a data lake.
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization.
During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information
All the data in the world isn't helpful unless you put it to use. Employees spend countless hours just pulling data together and making sense of it. We set out to close the data divide between those that are able to put data to work, and those that aren’t. Our cloud-born data services provide data
We are living in the age of distraction. We need to absorb more information, coming at us from more different sources, than ever before. It’s creating a kind of cognitive overload that can often lead to indecisiveness and missed business opportunities. To curtail this chaos and narrow the field of
IBM this week announced dashDB, which brings cloud-based modernization to data warehousing and analytics. dashDB helps customers to ensure that infrastructure doesn't stand in the way of them realizing fast value from an agile enterprise data warehouse. Many smaller and mid-sized users have little
Agile development requires agile fingers, and big problems require smart minds working together to solve them. Big data has opened the door for everyone to collaborate, think bigger and drive change in the world. Accessible and open services make harnessing the power of big data for these changes a
In the world of big data and analytics, cloud capabilities offer a great opportunity and shorten the path between ideas and action. IBM’s new Bluemix platform for developers continues to grow, offering users new capabilities every day that they can attach, build and deploy for web and mobile app
Big data presents a tremendous opportunity to alter the ways we think and do business. Hadoop, analytics and other technologies will be front and center at this year’s Strata/Hadoop World event in NYC on October 15 through 17 and we will be there to discuss text analytics, Hadoop use cases, SQL-on-
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude
The consolidated memory cloud will be the dominant architecture of the big data future. For enterprises and service providers trying to get closer to that vision, however, the migration path will not always be straightforward.
Research shows that "80% of the data about a patient is unstructured." Nigel Hook, CEO and Founder, DataSkill, tells the story of how IBM BlueMix enables DataSkill to bring cognitive computing to healthcare clients, so they can gain a better understanding of patients through unstructured data.