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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. |
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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. |
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5 Steps to Stable Continuous Testing in DevOps Continuous testing minimizes risk and ensures DevOps has the tools to deliver quality, modern code that is ready for the future. To fulfill this, you have to first understand the three types of personas in testing. Then, you'll know how to work with them to progress along the path toward achieving continuous testing. |
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Selecting a Cloud Service Cloud services are relatively new, and for those used to downloading and installing software, it may be daunting at first when trying to figure out which cloud service to use. Let’s analyze the different options—infrastructure as a service, platform as a service, and software as a service—and when you should use each. |
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The Importance of Data Encryption in Cybersecurity Encryption protects private data with unique codes that scramble the data and make it impossible for intruders to read. Despite a data breach, encryption ensures that an institution’s private data is safe, even when attackers get past the firewall. Here are four reasons to use data encryption cybersecurity measures. |
