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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. Apache Spark came in 2009 and gave a unified batch and streaming engine.

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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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A List of Programming Languages for 2024

Knowledge Hut

Most importantly, we will understand what makes them popular, their uses, their career outlook, and their position in the Information Technology Industry. Cross Platform Compatibility ensures Java can be used on various platforms (Operating Systems) without any compatibility issues. This helped Java spread its popularity faster.

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MongoDB Architecture

U-Next

A distributed systems architecture allows you to intelligently place data wherever you want it. The Web Server Open Licence governs MongoDB databases’ creation, maintenance, and use, which were first made available in January 2009 by Mongo DB.ltd. js, Perl, PHP, Python, Motor, Ruby, Scala, Swift, and Mongoid.

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Zalando Tech x Strange Loop 2016

Zalando Engineering

Strange Loop has taken place every year since 2009 in St. Louis, Missouri (USA) and is highly considered among developers, covering a wide range of topics from programming languages, distributed systems, web development, functional programming, and socio-political implications of technology.

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