Azure Databricks Data Engineering: Build a Lakehouse

Azure Databricks Data Engineering: Build a Lakehouse

Master PySpark, Delta Lake & Native Dashboards by building a Real Estate Market Tracker from scratch in Azure Databricks



Sub Category

  • Data Science

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Objectives

  • Design and implement a professional Medallion Architecture (Bronze, Silver, Gold) using Azure Databricks
  • Build and deploy scalable ETL pipelines using Azure Databricks, PySpark, and Spark SQL to transform raw API data.
  • Connect Microsoft Power BI directly to Databricks Gold tables to create interactive dashboards and visualize business insights.
  • Implement professional DevOps practices by integrating Databricks with GitHub for version control and CI/CD.
  • Orchestrate automated data workflows using Databricks Workflows to schedule daily data ingestion and processing.


Pre Requisites

  1. No prior Azure cloud experience is required; the course guides you through setting up a free enterprise lab environment.
  2. Basic familiarity with SQL concepts (SELECT, FROM, WHERE) is recommended but not mandatory.
  3. A computer (Windows or Mac) with internet access to log into the Azure Portal.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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