Azure Databricks & Spark For Data Engineers:Hands-on Project
Course Overview
This course takes you through the journey of building a real-world data engineering project using Azure Databricks, Spark, and related tools. It covers the entire data pipeline process, from data ingestion and transformation to governance and reporting. You’ll learn about Azure Databricks architecture, Delta Lake, Spark (PySpark and SQL), Azure Data Factory (ADF), Unity Catalog, and Power BI integration.
With a focus on hands-on learning, you will acquire essential skills for a data engineer working in the cloud. The course is built around a practical project involving the analysis of Formula1 racing data, ensuring you apply the concepts as you learn.
You will also gain the skills necessary to pass the Azure Data Engineer Associate certification exam and Databricks Certified Data Engineer Associate certification. The course includes detailed, step-by-step instructions for completing each module, ensuring even beginners can follow along.
What You'll Learn
- Hands-on Projects including building solutions with Azure Databricks and Spark for real-world datasets (e.g., Formula1 data).
- Professional Skills in Azure Databricks, Spark Core, Delta Lake, and Data Factory for building robust data pipelines.
- Azure Data Engineer Associate Certification exam preparation (DP-203).
- Data Governance concepts and Unity Catalog for managing and securing data assets.
- Power BI Integration with Azure Databricks for data visualization.
1,690 THB
Udemy
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Skills You'll Gain:
