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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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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? |
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Choosing a Cloud Storage Service When choosing storage through a managed cloud service, you should consider several factors: What type of storage is needed? What is the type of application or service? What is the scale of data? What kind of accessibility, availability, and durability do you require? All these aspects should influence your decision. |
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Features of Serverless Cloud Platforms With the advent of serverless computing, several serverless platforms have become available, precluding the requirement to provision and expose the infrastructure needed on a server-based compute environment. Let’s examine some of the features to expect in a serverless platform so you can know what to prioritize. |
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Choosing a Cloud Computing Platform With so many options for cloud computing platforms, it can be tough to narrow them down. Focus on the most important features for your work: Do you want a server-based platform or serverless? What support do you need for your OS and software? What other services do you want integrated? These are the questions to ask. |
