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Best Practices for Big Data Big data can be a fickle beast to tame. Using data the wrong way can sometimes do more harm than good to your project or organization, but don't worry. We have you covered with some best practices on how to approach your big data implementation. Read on to find out more. |
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Seriously, What Is Big Data? Recently, Forbes, UC Berkeley, and Inside-BigData all took to the Internet to define one of today's biggest phenomenons—big data. Among them, they offered more than fifty different definitions of big data and what it means to disparate people. So, really, what is big data? |
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Five Predictions: What the Future Holds for Test Professionals No one has a crystal ball, but it's critical for test professionals to seriously ponder what the future holds as they plan their career journeys. Where is technology headed? What testing roles will be in most demand? Where will a tester spend the most time? Here are some predictions. |
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Using Patterns to Diagnose Test Automation Ailments When doctors diagnose new patients, they start by asking general questions. And depending on the answers, they ask more specific questions. The same can be done with patterns! Asking about the condition of a test automation effort can lead to the specific issue that’s ailing the project—and a cure. |
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Playing Devil’s Advocate: Use Premortems for Your Project’s Success Most teams could benefit from having a devil’s advocate—someone who would help the team identify weaknesses in their thinking and seek changes that would prevent or minimize adverse outcomes. A project team can become its own devil’s advocate by using premortems before the project proceeds. |
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Use Timeboxing to Boost Your Efficiency In timeboxing, you predetermine the maximum time allowed to get tasks done. You determine the launch deadline when you start the sprint or iteration, and everyone works toward that date. It can keep your project focused and on track. Is this method for you? Read on for advantages and disadvantages. |
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Is Scaling Agile an Oxymoron? The success of agile methods has meant that larger projects also want a share of the benefits. But as compelling as the idea might be, is scaling agile an oxymoron? Isn't it contradictory to expect large and complex projects to be agile? Or would such an attempt inevitably lead back to waterfall? |
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Google’s Recruitment Process Will Make You Change the Way You Hire Google, which Fortune magazine ranked number one on its 100 Best Companies to Work For list for 2012, attracts some of the best people in the tech field. And to be sure the people they're hiring will be a good fit, the data giant is ignoring the data and going with some unorthodox methods. |
