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🏗️Data Engineering Foundations

An eight-lesson path from SQL fundamentals to a modern data stack. You'll learn how to query and tune relational data, cache hot reads, model with dbt, choose between lakehouse and warehouse architectures, and wire pipelines together with Kafka and Airflow. By the end you can reason about every layer a production data platform actually runs on.

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Lessons in order

  1. 1
    Programming
    SQL JOINs: Combining Data from Multiple Tables
    Start
  2. 2
    Programming
    PostgreSQL Indexes: Unlocking Query Performance with B-tree, Hash, GIN, and GiST
    Start
  3. 3
    Programming
    Redis: Fundamentals of an In-Memory Data Store
    Start
  4. 4
    Programming
    Introduction to dbt: The "T" in ELT
    Start
  5. 5
    Programming
    Understanding the Data Lakehouse Architecture
    Start
  6. 6
    Programming
    Snowflake: Cloud Data Warehouse Fundamentals
    Start
  7. 7
    Programming
    Apache Kafka: Distributed Event Streaming for Data-Intensive Applications
    Start
  8. 8
    Programming
    Apache Airflow: Orchestrating Data Pipelines
    Start