In this fast-paced data-driven world, the fallout from a single data quality issue can cost thousands of dollars in a matter of hours. To catch these issues quickly, system monitoring for data quality requires a different set of strategies from other continuous regression efforts. Like a...

In the past few years we’ve used cloud technologies to improve pre-production flexibility and solve many problems that previously prevented us from delivering high quality apps to production. However, one problem consistently prevents full test coverage prior to deployment—the lack of...

According to studies, 64 percent of features in systems are rarely—or never—used. How does this happen? Today, the work of eliciting the customers' true needs, which often remains elusive, can be enhanced using data-driven requirements techniques. Brandon Carlson describes why traditional...

Being first to market or meeting rapidly changing customer demands compels development teams to build systems while requirements are still being discovered. Developing a relational database design ahead of its requirements can paint you into a corner—with a product that suffers from...