Azure Databricks for Data Engineers

Azure Databricks for Data Engineers

Azure Databricks is a cloud-based workspace designed for data engineers to process and manage large sets of data. It brings together advanced computing from Azure and user-friendly tools to help engineers clean, organize, and move data from one system to another. This helps make data ready for analysis, dashboards, or machine learning projects.

Data engineers use Azure Databricks to build reliable data systems that run smoothly and save time. It supports collaboration, so teams can work together on data projects, even from different locations. The platform takes care of a lot of the behind-the-scenes work, allowing engineers to focus more on solving real business problems with data.

Who should take the Exam?

This exam is ideal for:

• Data Engineers working with big data on Azure
• Azure Data Platform professionals
• Cloud Engineers transitioning to data engineering
• ETL Developers looking to upgrade skills
• Data Analysts automating data workflows
• Software Engineers handling backend data flows
• Machine Learning Engineers building data pipelines
• Professionals moving from Hadoop/Spark to Azure

Skills Required

• Understanding of data pipeline concepts (ETL/ELT)
• Basic Python, SQL, or Scala knowledge
• Familiarity with cloud platforms, especially Azure
• Experience with data storage systems (e.g., Data Lake, Blob Storage)
• Fundamentals of distributed computing (Apache Spark)

Course Outline

Domain 1 - Introduction to Azure Databricks

Domain 2 - Workspace and Environment Setup

Domain 3 - Working with Apache Spark on Databricks

Domain 4 - Data Ingestion Techniques

Domain 5 - Data Transformation and Processing

Domain 6 - Delta Lake Essentials

Domain 7 - Integration with Azure Services

Domain 8 - Scheduling, Automation, and Monitoring

Domain 9 - Security, Governance, and Best Practices