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Using Automation to Supplement Agility

There is always excitement around the opportunities related to adopting a modified or a new system development methodology. However, one of the biggest challenges is that despite the promise of improving the manner in which the application design and development phases proceed, the focus remains on satisfying functional requirements while largely ignoring the data requirements. …Read More

Maturing the Big Data Analytics Paradigm

Within the past 9 to 12 months, the hoopla over “big data” platforms has begun to yield to greater distinction among the various uses of these platforms to achieve particular business objectives. Instead of generically talking about big data (and, by that, referring specifically to Hadoop), more people are beginning to examine the anticipated outcomes …Read More

Leveraging Big Data Techniques for Big Data Quality

The orders of magnitude scaling of data volumes for “big data” applications has many different types of data quality practitioners figuratively salivating at the potential opportunities for applying their favorite data quality techniques. First, for some practitioners, there is the perception that in a big data environment, “lots of data” means “lots of errors,” which …Read More