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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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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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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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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. |
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Comparing XML and JSON: What’s the Difference? XML (Extensible Markup Language) and JSON (JavaScript Object Notation) are the two most common formats for data interchange. Although either can be used to receive data from a web server, there are differences that set them apart. Here are the abilities and support for each option so you can choose what works for you. |
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Shifting Security Left in Your Continuous Testing Pipeline Security is often the black sheep of testing—an afterthought that gets only a scan before release. We have to make security a first-class testing citizen with full-lifecycle support. For the best impact, introduce security testing into the early phases of the continuous testing pipeline. Here are some tools to help. |
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Building a DevOps Army As you scale DevOps, you need more team members who understand the fundamentals. You could bring in external folks, but they're expensive and in short supply, so start building your DevOps army now by training existing employees. Here's what testers, developers, and IT operations professionals each need to know. |
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Should You Use XML or Protocol Buffers to Store and Exchange Data? XML is a flexible text format used for a wide variety of applications, including data serialization and exchange of data. More recently, protocol buffers were also introduced for data exchange and data serialization. Even though their purpose is the same, these are very different technologies. Which is better for you? |
