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Dexa/Super Data Science: ML & AI Podcast with Jon Krohn

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Published Nov 12, 2021

SDS 522: Data Tools vs. Data Platforms — with Jon Krohn

Jon Krohn demystifies the complex landscape of data tools versus platforms, providing listeners with crucial insights into their distinct roles and the strategic importance of platforms like Spark, Kafka, and Hadoop in data science.
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Episode Highlights

  • Definitions

    In this episode, clarifies the distinction between data tools and data platforms, setting the stage for future discussions on high-paying data technologies. He defines data tools as software products for working with data that are neither standalone programming languages nor platforms. emphasizes that while programming languages like Python are essential in data science, tools such as scikit-learn, TensorFlow, and PyTorch operate within these languages to enhance functionality 1.

       

    Characteristics

    Data tools possess unique characteristics that distinguish them from programming languages and platforms. explains that these tools can be implemented via code or as point-and-click software, like Microsoft Excel. He notes that while the distinction between data tools and programming languages is clear, the line between tools and platforms can be blurred, as platforms are broad frameworks supporting multiple tools 2.

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