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Top 10 DevOps Programming Languages That You Must Know

Knowledge Hut

Programming languages act as one of the most important tools in DevOps. To be successful in DeOps and achieve Continuous Integration/Continuous Delivery (CI/CD), making the right choice of a programming language is very essential. Moreover, C is such a language that most programmers already know (to some extent).

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A List of Programming Languages for 2024

Knowledge Hut

With the invention of Computers, programming language became a necessity in this world. Today's programming languages are similar to the language we speak and are much more powerful and faster. For training on Programming and getting started, visit the Software Programming course.

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Brief History of Data Engineering

Jesse Anderson

Google looked over the expanse of the growing internet and realized they’d need scalable systems. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL.

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Bun: lessons from disrupting a tech ecosystem

The Pragmatic Engineer

Smart choices include using a more performant JavaScript engine than Node does (Bun uses Apple’s JavaScriptCore, while Node uses Google’s V8,) and using the low-level programming language Zig. In 2009, it was revolutionary and the majority of the JavaScript backend development community moved to this ecosystem.

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Create a New React Project From Scratch [Step-by-Step Guide]

Knowledge Hut

If you are an aspiring web developer who wants to establish their career in React and other modern frontend technologies, these tutorials will provide you the basic understanding that you need to learn, rehearse and practice. Technology is a work in progress. As technology gradually evolved, so did the CSS.

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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. Both technologies have their own pros and cons as we will see below.

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Apache Spark Use Cases & Applications

Knowledge Hut

Apache Spark was developed by a team at UC Berkeley in 2009. Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. Spark is developed in Scala programming language. The demand has been ever increasing day by day.

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