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Why Join the Azure for Data Engineering Course?
This 30-hour training program is designed for data engineers aiming to build scalable data pipelines using Azure services like Azure Data Factory, Synapse Analytics, and Databricks. With hands-on labs and real-world projects, you’ll gain practical skills to excel in data engineering.
- Duration: 30 hours of expert-led training
- Level: Intermediate to Advanced
- Format: Online, self-paced with live Q&A sessions and instructor support
- Tools: Azure Data Factory, Synapse Analytics, Databricks, Blob Storage, Event Hubs, Azure Functions
- Certification: Earn a Certificate of Completion recognized by top employers
- Support: Access to a private community and 1:1 mentorship options
Investment: £750
An invoice will be sent to your email from registration.confirmation@braintechblueprint.co.uk with payment instructions.
What You’ll Master
Introduction to Azure Data Engineering
- Overview of data engineering on Microsoft Azure
- Key concepts: Data lakes, data warehouses, ETL
- Hands-on exercise: Setting up an Azure data environment
- Exploring Azure services: Blob Storage, Data Factory, Synapse Analytics
- Real-world use case: Ingesting raw data into Blob Storage
- Navigating Azure Free Tier for data services
Data Storage and Ingestion
- Using Azure Blob Storage for scalable data storage
- Hands-on lab: Creating Blob Storage containers for raw data
- Ingesting data with Azure Event Hubs
- Real-world scenario: Streaming IoT sensor data
- Configuring Azure Data Factory for data ingestion
ETL with Azure Data Factory and Databricks
- Building ETL pipelines with Azure Data Factory
- Hands-on lab: Creating a Data Factory pipeline for ETL
- Using Azure Databricks for big data processing with Spark
- Transforming data formats (e.g., CSV to Parquet)
- Real-world case study: ETL for e-commerce analytics
Data Warehousing and Querying
- Setting up Azure Synapse Analytics workspaces
- Hands-on lab: Loading data into Synapse Analytics
- Querying data with Synapse SQL
- Real-world example: Building a BI dashboard
- Using Power BI for data visualization
Advanced Data Engineering
- Building serverless pipelines with Azure Functions
- Hands-on lab: Triggering Azure Functions for data processing
- Real-time analytics with Azure Stream Analytics
- Orchestrating pipelines with Azure Logic Apps
- Monitoring pipelines with Azure Monitor
Why Choose This Course?
- Led by Azure-certified data engineers
- Hands-on labs with real-world datasets
- Flexible online format tailored to your schedule
- Build a portfolio with 3+ practical projects
- Prepares you for Azure Data Engineer Associate certification
- Lifetime access to course updates
Ready to Master Azure for Data Engineering?
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