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Tips for Getting an Agile Transformation Off the Ground Many agile transformations are doomed before they even begin. Organizations focus on the wrong things up front, resulting in a poorly planned effort that doesn’t deliver business value. Here are some tips to get things started the right way, including how to communicate well, define roles, and change your culture. |
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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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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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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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Agile Dojo: Speed Up Delivery Using Focus An Agile Dojo is an immersive learning experience where teams bring their work into a collocated space and work together to complete a project, using “hyper-iterations” of two-day sprints, over six weeks. Even distributed teams are able to collaborate, focus, and deliver projects on time and within budget. 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. |
