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Managing the Risks of Cloud Storage When managing and storing information, the cloud is a reasonable place to do that, but you need to realize that, as with a personal computer or any other device, it needs to have a backup (or more than one, for important things). Luckily, there are several ways to make local backup copies of critical data. |
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Here There Be Monsters: The Value of Data Profiling Monsters appeared on medieval maps to identify the unknown dangers of the sea. Likewise, the data profiles for an organization identify the points within its data. A robust data-profiling strategy can provide a more accurate picture of an organization’s data systems and find risks before they become monsters. |
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Getting Your Data to Work for You Practically everyone records data somehow. The real value comes from using that data to gain deeper insight. When used appropriately, data profiling can be a powerful tool for analyzing existing data, profiling for planned changes, or monitoring for unplanned circumstances, helping save time and remove risks. |
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Deep Dive: Microsoft Explores Ocean Data Centers Data centers are regarded as energy hogs by many, and the hope is that renewable power sources can become a cost-effective alternative. Microsoft recently launched Project Natick to find out if data centers located under the ocean could be a viable possibility. |
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Why Your Test Efforts Should Tackle Data First Automation projects often start by tackling the technical issues, but Linda Hayes says a specific data environment should be established first. If you can’t control, define, and predict your data, you won’t have the repeatability that makes test automation practical—but it makes sense for manual testing, too. |
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Creating a Test Strategy and Design for Testing Data These days, data comes from multiple sources, is transformed in many different ways, and is consumed by hundreds of other systems, so we must validate more data, more quickly. Mike Sowers shares his work in progress checklist for things to consider when developing a test strategy and design approach for data. |
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Ignore the Data at Your Own Risk At work, the evidence of something worth paying attention to is often front and center, and yet we dismiss it. If you ignore the data—negative survey results, team member absences, an increase in bugs, stakeholders who repeatedly miss meetings, etc.—you could be overlooking signs of trouble. |
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I’ve Incorporated Big Data—Now What? It’s easy to say something like, “We’re agile from here on out” or “Let’s start saying 'DevOps' in meetings more often,” but without an actual game plan for how you’re going to use something like big data, simply incorporating it into your current culture doesn’t do much. |
