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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. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache Spark came in 2009 and gave a unified batch and streaming engine. We lacked a scalable pub/sub system.

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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. It also supports multiple languages and has APIs for Java, Scala, Python, and R.

Hadoop 96
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Top 11 Programming Languages for Data Science

Knowledge Hut

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. Scala Scala has become one of the most popular languages for AI and data science use cases. It came out in 2009 when Google introduced it to the world. What Is Data Science?

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Best Data Science Programming Languages

Knowledge Hut

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. Scala Scala has become one of the most popular languages for AI and data science use cases. It came out in 2009 when Google introduced it to the world. What Is Data Science?

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A List of Programming Languages for 2024

Knowledge Hut

Cross Platform Compatibility ensures Java can be used on various platforms (Operating Systems) without any compatibility issues. Java is popularly used for Web, Mobile, and Embedded Systems, which are in wide demand now. C is also in great demand for the programming of embedded systems. to work with assembly language.

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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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Apache Spark Use Cases & Applications

Knowledge Hut

Apache Spark was developed by a team at UC Berkeley in 2009. Spark is developed in Scala programming language. Multiple Language Support: Spark provides support for multiple programming languages like Scala, Java, Python, R and also Spark SQL which is very similar to SQL. The demand has been ever increasing day by day.

Scala 52