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Before Data Analysis, You Need Data Preparation One of the prerequisites for any type of analytics in data science is data preparation. Raw data usually has several shortcomings in structure, format, and consistency, so first it has to be converted to a usable form. These are some types of data preparation you can conduct to make your data useful for analysis. |
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Automation Face-Off: A Conversation with Michael Bolton, Isabel Evans, and Chris Loder Automation is a pressing topic. In a recent STARCANADA keynote session, industry experts Michael Bolton, Isabel Evans, and Chris Loder took to the conference stage to discuss some of the burning questions about automation from test professionals in the audience. Here’s a sample of their conversations. |
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2 Ways to Standardize QA Practices Testing can get complicated when each project is using a completely different toolset, language, and reporting status, with different measurements and formats. Testing is a reaction to context and what we encounter, so how we test cannot be standardized. What we can standardize is the stuff that surrounds the testing. |
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Getting Support for the Tests You Need Done It’s often hard for teams to get sufficient time and resources for the amount and quality of tests they think are needed. It’s like management wants testing done but at the same time doesn’t want to commit what’s needed to do it. If that's your case, look at the business side, rank priorities, and negotiate resources. |
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Security Tips for App Development When companies develop applications they consider competitors and the market, but the most important aspect is cybersecurity. Developers need to release apps that don’t put consumers or their data in danger. Here are five tips that app developers should keep in mind to create and maintain the most secure apps possible. |
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Are You Forgetting a Stakeholder? Technology allows amazing innovations to optimize business and deliver new and better services, but if you don’t carefully consider your entire user community, innovations may cost you business. When designing for stakeholders, don't stop at the obvious cases—or else you may find that you forgot an important customer. |
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Exploring Big Data Options in the Apache Hadoop Ecosystem With the emergence of the World Wide Web came the need to manage large, web-scale quantities of data, or “big data.” The most notable tool to manage big data has been Apache Hadoop. Let’s explore some of the open source Apache projects in the Hadoop ecosystem, including what they're used for and how they interact. |
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Smart Testers Adopt Smart Automation As technology continues to evolve, questions around the role of quality also continue. Is manual testing still required? What should the role of automation be? Where are we heading with quality? Smart testers hoping to develop their careers will have to brush up on their exposure and expertise and embrace automation. |
