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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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Effectively Measuring Agile Leadership Culture drives performance, and agile leaders set a team's culture, so leaders should be measured at how effectively they’re doing just that. The challenge is, what might that look like? Here’s an idea for a four-quadrant measurement approach for leaders' organizational and personal effectiveness in agile contexts. |
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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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A Simple Rule of Thumb for Unit Testing There's a simple rule for the minimum values testers should explore: “none, one, some”—or, how the software behaves if you send it nothing, one thing, or some set greater than one. It's not comprehensive, but it gives a good feel for how the feature works at the moment. Developers can also use this in unit testing. |
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Using Agile to Navigate through Medical Device Regulations When you test medical device software, you must be very careful. But when development wants to push a cadence of two weeks per sprint, every sprint, you’ve just got to keep up! Interpret the regulatory requirements not as a set of disabling constraints, but as a challenge to find the optimal route to navigate through. |
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Lower Risk of Downtime by Testing with Production Traffic Teams need a means of identifying potential bugs and security concerns prior to release—with speed and precision, and without the need to roll back or stage. By simultaneously running live user traffic against the current software version and the proposed upgrade, you can detect bugs while reducing risk and downtime. |
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Designing Data Models for Self-Documented Tests When testing applications, documenting and interpreting test results can be a challenge. Data models enable us to collect and process test data more dynamically and uniformly. To design effective data models for self-documented tests, there are three important things to consider: what to document, collect, and report. |
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Change Is Hard, but BDD Is Worth It Behavior-driven development is a methodology change that impacts the whole team, and unfortunately, it’s not as easy as writing scenarios in a specific format. What is the added value of BDD? Why should the team throw their current process out the window and try to incorporate a new methodology? Here are some reasons. |
