This paper explores the concepts of data stewardship, which is the practice of monitoring, measuring, managing, and reporting on data integrity, data policies, and data performance. It highlights three comprehensive suites—Data Quality, Master Data, and Integration—to facilitate effective data stewardship in any traditional, complex, and big data scenario.
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Volume, velocity, variety—big data is in vogue. Why? Enterprises know that there is a treasure trove of information they should be tapping into. This information is predominantly less structured data consisting of weblogs, social media, e-mail, sensors, and photographs that can be mined for useful information. Whether it is healthcare, financial, manufacturing, government, or retail, big data presents a big opportunity. What are the best ways to bridge enterprise data with big data through a common set of unified data integration tools? And what are the best strategies for dealing with the complexities of these two unique worlds? This dilemma is what today’s IT leaders are up against.
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