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Breaking Down Apache’s Hadoop Distributed File System Apache Hadoop is a framework for big data. One of its main components is HDFS, Hadoop Distributed File System, which stores that data. You might expect that a storage framework that holds large quantities of data requires state-of-the-art infrastructure for a file system that does not fail, but quite the contrary is true. |
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Leave No Tester Behind Creating comprehensive automated tests within a sprint can be a challenge. If the testers don't finish the automation and the rest of the team moves on, testers get left behind and can't catch up. You need some techniques to keep everyone together and ensure that all essential work is accomplished—including test automation. |
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Comparing Apache Hadoop Data Storage Formats Apache Hadoop can store data in several supported file formats. To decide which one you should use, analyze their properties and the type of data you want to store. Let's look at query time, data serialization, whether the file format is splittable, and whether it supports compression, then review some common use cases. |
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An Agile Mindset Teaches the Lessons We Need for COVID-19 Since we can't control the COVID-19 situation besides following safety protocols, and updates change almost daily, our circumstances necessitate agility from everyone, from employees to company leads. Let’s look at the practical agility lessons COVID-19 is teaching us and why an agile mindset is even more important now. |
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Code Integration: When Moving Slowly Actually Has More Risk Many decisions about code branching models are made in the name of managing risk, and teams sometimes pick models that make integration harder in the name of safety. Moving slowly and placing barriers to change can seem safer, but agile teams work best when they acknowledge that there is also risk in deferring change. |
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Benefits of Using Columnar Storage in Relational Database Management Systems Relational database management systems (RDBMS) store data in rows and columns. Most relational databases store data row-wise by default, but a few RDBMS provide the option to store data column-wise, which is a useful feature. Let’s look at the benefits of being able to use columnar storage for data and when you'd want to. |
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3 Questions for Easier, Less Stressful Project Estimates In agile development, the idea of precise estimates is unrealistic. But estimates are needed to inform decision-makers about whether it's worth solving a problem as it is currently understood. It sounds counterintuitive, but instead of asking for one estimate of cost and schedule, ask for three. Here's why it's more useful. |
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Comparing Apache Sqoop, Flume, and Kafka Apache Sqoop, Flume, and Kafka are tools used in data science. All three are open source, distributed platforms designed to move data and operate on unstructured data. Each also supports big data in the scale of petabytes and exabytes, and all are written in Java. But there are some differences between these platforms. |
