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Brief History of Data Engineering

Jesse Anderson

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. Some people blamed the technologies. The technologies more or less work well.

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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.

Scala 52
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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. Go Go / Golang was introduced by two Google Engineers in 2009. Scala Scala is a high-purpose language developed to fill in the gaps in Java, such as functional libraries.

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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

Market Demands for Spark and MapReduce Apache Spark was originally developed in 2009 at UC Berkeley by the team who later founded Databricks. Most cutting-edge technology organizations like Netflix, Apple, Facebook, and Uber have massive Spark clusters for data processing and analytics. It can also run on YARN or Mesos.

Scala 94
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MongoDB Architecture

U-Next

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. Therefore, you are free to create an application using any of these languages.

MongoDB 40
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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. You can also read his notes here.

Scala 40
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Most Interesting Data Visualization Projects in 2023

Knowledge Hut

In fact, there are multiple ways of representing data visually, some use classic methods, while others adopt modern technologies. You can use dataset on Amazon's Top 50 bestselling books from 2009 to 2019 which contains 550 books with data categorized into fiction and non-fiction using Goodreads for practice.

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