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Trusting Your Data: Garbage In, Garbage Out Poor quality input will always produce faulty output. Improper validation of data input can affect more than just security; it can also affect your ability to make effective business decisions. Bad data can have impacts on how you make quantitative decisions or create reports, if you can’t trust the data you receive. |
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Migrating a Database? Consider These Factors First Database migration is usually performed with a migration tool or service. Migrating one database to another actually involves migrating the schemas, tables, and data; the software itself is not migrated. Whatever the reason for migration, before you start, explore the options and take these considerations into account. |
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AI and Machine Learning: Revolutionizing App Development Artificial intelligence and machine learning are the new disruptors that will define app growth in the future. Cutting-edge features developed using these technologies can help give your app the edge over competition with exciting and useful new abilities. Here are some of the benefits to making your app a smart app. |
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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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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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Rethinking Your Measurement and Metrics for Agile and DevOps In their transition to agile and DevOps, many teams forget they also need to update their measurement and metrics plan. Some measurements and metrics from the traditional waterfall software development lifecycle may remain useful, but many may not provide value—and some may even adversely impact progress toward goals. |
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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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Selecting the Right Node.js Framework for Your App Node.js is an open source and cross-platform runtime environment for creating server-side web apps entirely using JavaScript. There are many frameworks that work with Node.js and each excels in different areas, so selecting one comes down to preference and the specific needs of the project. Here are some popular ones. |
