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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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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. |
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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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Making DevOps Evolution Happen It takes effort to evolve an organization’s culture, processes, and technology to optimize performance for a DevOps environment, and it all comes down to the people. Large-scale mobilization requires a focus on people at all levels, empowering them to discover and make the changes that will help them most. Here's how. |
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When to Use Different Types of NoSQL Databases Web-scale data requirements are greater than at a single organization, and data is not always in a structured format. NoSQL databases are a good choice for a larger scale because they're flexible in format, structure, and schema. Let’s explore different kinds of NoSQL databases and when it’s appropriate to use each. |
