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Is Cloud Computing Taking Over the Tech Industry? Undoubtedly, cloud computing has been one of the largest paradigm changes the technology industry has seen during the last decade. Players both big and small are making investments to gain market share, and news items related to cloud computing are increasingly omnipresent. |
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NASA Patents and Searchable Database Inspires Spinoff Technology NASA's Technology Transfer Program periodically releases formerly patented technologies to the general public. NASA recently made available more than 50 additional agency technologies, and a searchable database catalogs thousands of NASA patents already in the public domain. |
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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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IoT and the Wisdom of Mobile With over 12 billion devices connected today, the Internet Of Things (IoT) has taken the world by storm and is growing exponentially by the minute. Since mobile’s been around so long, what have we learned from that revolution that can help us in this new connected age of IoT? |
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The Future of Cloud Connectivity in an IoT World When new technologies are embraced and popularized, they usually fail sooner rather than later. The IoT, new architectures, and cloud systems are developing into perfect storms that will take time to develop and move on to maturity, finally providing calm, consistent conditions. How should you plan to fail? |
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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. |
