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If Santa Can Be Agile, So Can You To improve his toy development lifecycle, Santa Claus had the North Pole move to an agile and DevOps approach. Santa knows it's important to accept requirements late in the process, work incrementally, deploy on time, and—above all—focus on the customer. Here’s what he found to be more effective with agile and DevOps. |
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5 SecOps Challenges and How to Overcome Them SecOps, or security operations, is a collaboration between information security and IT operations to keep a company’s data secure and reduce risk, all while maintaining agile timelines. But it can be difficult to start. Here are five challenges you should address to ensure your SecOps implementation is successful. |
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Continuous Automation, from Source Code to Production Automation is necessary to achieve the benefits of DevOps principles, so teams may use automation at every step of software development. Depending on how frequently and confidently a team deploys code, they can use automation to enable continuous integration, continuous delivery, and, finally, continuous deployment. |
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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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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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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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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. |
