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The Data Science of Big Data Big data is a science, and luckily, there are plenty of tips out there to help you become a better data scientist, which can also work to make you and your team become more adept at leveraging big data. Read on for some helpful data science takeaways. |
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The Cultural Changes Testers Most Want to See A recent survey of software testers explored their pain points and the state of testing today. In many ways, the answers have not changed much in the last twenty-five years. What are the most important cultural changes testers want to see? What has actually gotten better in the last quarter-century? |
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Ben Simo Presents The Power of an Individual Tester at STARWEST 2014 In this STARWEST 2014 keynote, Ben Simo shares his experience with HealthCare.gov, the issues he found, and lessons testers can learn from the website's failures. He digs into everything he had to do to discover the many flaws of the government website. |
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When Big Data Is a Big Waste One of the biggest fallacies surrounding big data is that it will always lead to valuable information. Big data can be not only a big waste of time, but also a big detriment to your organization. Read on to see if you are making these big data mistakes. |
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ISO 29119: The Redundancy in the Documentation Document When it comes to ISO 29119, the new international standard for software testing, there is a great deal of secrecy around it. Matt Heusser has the papers published so far, so he explains and shares his thoughts about Section 5—a document that is basically a collection of documents and definitions. |
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Automation and Ethics: The Human Side of Technology Automation technology is becoming more prevalent, and while it brings convenience, it also introduces some moral quandaries. Someone has to decide what the devices will do when things go wrong. What are the ethical responsibilities of software developers and testers working on these projects? |
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Are Tech Companies Keeping Up with the Digitization of Data? We are living in a world where digital data is booming. Architectures and technologies also have been rapidly evolving to keep up with the exponential growth of data by creating a new big data species. This story walks through prospective technologies that have already proven their effectiveness. |
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Maximizing the Coexistence of Scrum and Kanban It is difficult to exclusively use Scrum or kanban in product development, given the advantages they both provide. The prospect of using the two together can be just as difficult to fathom, yet it is possible for them to coexist—and with optimal results. Read on to learn how to combine the two. |
