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Azure Data Engineering Course with Advanced Power BI

Duration

Course Code

5 Days

IV-DA-007

About the Course

This course equips you with the skills to design, build, and manage modern data solutions using Azure Data Engineering tools and Power BI. From data ingestion and transformation in Azure Data Factory to real-time analytics with Azure Stream Analytics and advanced reporting in Power BI, you will learn how to transform raw data into actionable insights.


By the end of the course, you’ll be able to create scalable data pipelines, design data warehouses, and deliver interactive dashboards that drive smarter business decisions.


What You Will Learn


  1. How to design and build scalable data pipelines using Azure Data Factory.

  2. Techniques for ingesting, transforming, and storing data across Azure services (Blob Storage, Data Lake, Synapse).

  3. How to implement real-time analytics with Azure Stream Analytics.

  4. Advanced data modeling, DAX calculations, and visualizations in Power BI.

  5. How to integrate end-to-end data engineering and business intelligence to deliver actionable insights.


Target Audience


This course is designed for:

  • Data Engineers and Data Analysts who want to build and manage data pipelines in Azure.

  • Business Intelligence Professionals seeking to enhance their skills with Power BI and Azure Synapse.

  • Database Administrators looking to transition into cloud-based data solutions.

  • Developers and IT Professionals who want to gain hands-on experience in Azure data services.

  • Students or Career Shifters aspiring to start a career in data engineering and analytics.


Course Outline


Module 1: Introduction to Azure Data Engineering 


  • Overview of Azure Data Services.

  • Setting up an Azure account and subscription.

  • Introduction to Azure Data Factory.


Module 2: Data Ingestion in Azure


  • Azure Data Factory pipelines for data ingestion.

  • Azure Blob Storage and Azure Data Lake Storage.  

  • Data ingestion from on-premises sources.


Module 3: Data Transformation with Azure Data Factory


  • Data transformation activities in Azure Data Factory.

  • Data wrangling and cleansing.

  • Introduction to Azure Databricks for advanced transformations.


Module 4: Building Data Warehouses in Azure


  • Introduction to Azure SQL Data Warehouse.

  • Designing data warehouses for analytics.

  • Data loading and querying in Azure SQL Data Warehouse.


Module 5: Introduction to Azure Synapse Analytics


  • What is Azure Synapse Analytics?

  • How Azure Synapse Analytics Works?

  • Explore Azure Synapse Analytics.


Module 6: Working with Azure Stream Analytics


  • Understand data streams.

  • Understand event processing.  

  • Understand window functions.


Module 7: Introduction to Power Query


  • Features of Power Query.

  • How to get Data from different data sources.  

  • How to use Query Editor.

  • Understand Modeling data and relationships.  


Module 8: Advanced Power BI Concepts


  • Data modeling in Power BI.

  • Creating complex DAX calculations.

  • Advanced visualizations and custom visuals.

 

Module 9: Power BI Dataflows and Composite Models


  • Introduction to Power BI dataflows.

  • Building and managing dataflows.

  • Creating composite models for complex data relationships.

 

Module 10: Power BI Embedded and Custom Visuals


  • Embedding Power BI reports into applications.

  • Developing custom visuals using Power BI developer tools.

  • Security and authentication in Power BI Embedded.

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