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Top 11 Programming Languages for Data Science

Knowledge Hut

Data scientists are in high demand, and the demand will only continue to rise. However, data scientists need to know certain programming languages and must have a specific set of skills. It can be daunting for someone new to data science. The choice becomes easy when you are aware of your data science career path.

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Best Data Science Programming Languages

Knowledge Hut

Data scientists are in high demand, and the demand will only continue to rise. However, data scientists need to know certain programming languages and must have a specific set of skills. It can be daunting for someone new to data science. The choice becomes easy when you are aware your data science career path.

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Brief History of Data Engineering

Jesse Anderson

Doug Cutting took those papers and created Apache Hadoop in 2005. 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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Apache Spark Use Cases & Applications

Knowledge Hut

Apache Spark was developed by a team at UC Berkeley in 2009. Spark also has support for streaming data using Spark Streaming. Spark is developed in Scala programming language. Though the majority of use cases of Spark uses HDFS as the underlying data file storage layer, it is not mandatory to use HDFS.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Interact with the data scientists team and assist them in providing suitable datasets for analysis. Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines. Good skills in computer programming languages like R, Python, Java, C++, etc.

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Five Tech Jobs That Didn’t Exist Five Years Ago

Zalando Engineering

Big Data Engineer The term Big Data was first coined in the 1990s by John Mashey , referring to a large set of data that is almost impossible to manage using traditional business intelligence tools. A database querying language like SQL is also part of their arsenal.

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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

Why We Need Big Data Frameworks Big data is primarily defined by the volume of a data set. Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute.

Scala 96