• Data engineers and analysts exploring Azure solutions.
• IT professionals seeking to integrate data workflows on Azure.
• Business professionals interested in leveraging data analytics on the cloud.

• Basic understanding of data concepts, including ETL and analytics, is recommended. Familiarity with cloud platforms is helpful but not required.

Course Outline:

Module 1: Introduction to Data Engineering and Analytics on Azure

• Overview of Data Engineering and Analytics Concepts
• Introduction to Azure’s Data Ecosystem
• Key Services: Azure Data Factory, Synapse Analytics, Databricks

Module 2: Building Data Pipelines with Azure Data Factory

• Introduction to Azure Data Factory (ADF)
• Data Integration and ETL Workflow Design
• Hands-On: Creating and Managing Pipelines

Module 3: Processing and Analyzing Data with Azure Synapse Analytics

• Overview of Azure Synapse: Features and Architecture
• Performing Analytics with SQL and Serverless Pools
• Hands-On: Analyzing Data in Synapse

Module 4: Advanced Data Processing with Azure Databricks

• Introduction to Azure Databricks and Apache Spark Integration
• Processing Large Datasets in Real-Time
• Hands-On: Implementing Analytics with Databricks

Module 5: Real-World Use Cases and Wrap-Up

• Real-World Applications of Data Engineering on Azure
• Best Practices for Performance and Cost Optimization
• Q&A and Additional Resources

Training material provided: Yes (Digital format)