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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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Achieve Repeatable Builds with Continuous Integration Continuous integration is essential to provide the feedback needed to keep a team’s code agile. One crucial aspect to a successful CI process is a repeatable build. There are two parts to maintaining a repeatable build: the idioms and practices to define it, and the feedback cycle to maintain it. Here's what you need. |
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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. |
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Using More Advanced Kubernetes Controllers Kubernetes is an object-oriented framework for orchestration of Docker containers. While running basic Kubernetes objects like pods and services is essential to all Kubernetes applications, what controller to use should be based on several factors. Let’s explore some advanced controller options for additional features. |
