ADaSci Academy

    Modern Data Platforms and Lakehouse Architecture

    This course explains how modern data platforms evolved from traditional warehouses and data lakes into lakehouse architectures. You will understand core architectural layers, data flow patterns, and build a mini lakehous…

    1,378+ enrolled
    3 hours
    Beginner
    Modern Data Platforms and Lakehouse Architecture
    01 — Overview

    About this course

    This course explains how modern data platforms evolved from traditional warehouses and data lakes into lakehouse architectures. You will understand core architectural layers, data flow patterns, and build a mini lakehouse using Parquet, DuckDB, and analytical queries.

    02 — Outcomes

    What you'll learn

    ✓
    Evolution from data warehouses to data lakes and lakehouses
    ✓
    Core layers of a modern data platform architecture
    ✓
    Batch and streaming data processing patterns
    ✓
    Architectural patterns like Lambda, Kappa, and Medallion
    ✓
    Building a mini lakehouse using Parquet, DuckDB, and SQL analytics
    03 — Curriculum

    Course content

    3 sections · 6 lectures

    04 — Prerequisites

    Requirements

    • Basic understanding of databases and SQL
    • Familiarity with Python and Jupyter notebooks
    • Basic knowledge of data analytics concepts
    • Curiosity to understand modern data platforms
    05 — Audience

    Who should take this course

    • Beginner data engineers
    • Data analysts wanting to understand modern data platforms
    • Data science learners exploring data infrastructure
    • Software engineers moving into data engineering
    • Anyone curious about lakehouse architecture

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    Duration3h
    LevelBeginner

    $49.00