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    <title>Assessment Guidelines :: Data Engineering Foundations</title>
    <link>https://hub.imt-atlantique.fr/data-engineering-foundations/assessment/index.html</link>
    <description>Overview Your final assessment consists of two complementary mini-projects that demonstrate your mastery of machine learning engineering principles across different domains. Both projects emphasize the transition from exploratory data science to production-ready ML systems, showcasing your ability to build structured, maintainable, and well-documented machine learning solutions.&#xA;Core competencies Your work will be assessed based on three fundamental competencies that align with the official program objectives:&#xA;[BC02] Communicate effectively about data engineering concepts and solutions [BC04] Design and implement scalable database solutions using both relational and other paradigms [BC07] Create and maintain robust data pipelines for ETL processes while applying best practices in data governance, security, and environmental consideration Read carefully the expectations for these different competencies.</description>
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      <title>Core Competencies</title>
      <link>https://hub.imt-atlantique.fr/data-engineering-foundations/assessment/competencies/index.html</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>Your work will be assessed based on three fundamental competencies.&#xA;BC02: Communicate effectively about data engineering concepts and solutions&#xA;BC04: Design and implement scalable database solutions using both relational and other paradigms&#xA;BC07: Create and maintain robust data pipelines for ETL processes while applying best practices in data governance, security, and environmental considerations</description>
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