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Best Data Science Programming Languages

Knowledge Hut

Keep reading to know more about the data science coding languages. Scala Scala has become one of the most popular languages for AI and data science use cases. In addition, Scala has many features that make it an attractive choice for data scientists, including functional programming, concurrency, and high performance.

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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 out of the box support for Machine learning and Graph processing using components called MLlib and GraphX respectively. Spark also has support for streaming data using Spark Streaming. Spark is developed in Scala programming language.

Scala 52
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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009. It is a parallel processing framework for grouped computers to operate large-scale data analytics applications.

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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.

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