Advance Azure Synapse Analytics: Complete Data Engineering.

Master Azure Synapse Analytics with SQL, Spark, Serverless & Dedicated SQL Pools, and Build Real-World Data Engineering

Created byZishan Ali

Last updated 10/2026

English

What you'll learn

Master Azure Synapse Analytics and understand its core architecture, components, and capabilities.
Build and manage modern data warehouses and analytics solutions using Azure Synapse.
Create data pipelines for ingesting, transforming, and orchestrating data from multiple sources.
Work with Synapse SQL, Apache Spark, and other key Synapse workloads for data engineering and analytics.
Implement ETL/ELT workflows to transform raw data into meaningful business insights.
Connect Azure Synapse Analytics with other Azure data services and build end-to-end data solutions.
Apply real-world data engineering and analytics techniques through practical projects and hands-on exercises.

Course content

1 section • 10 lectures • 1h 18m total length

Introduction9:59
Lecture 2: Set Up Your Azure Synapse Workspace10:28
Lecture 3: Explore the Azure Synapse Workspace7:46
Lecture 4: Query CSV Data with Serverless SQL Pool9:01
Lecture 5: Query JSON Data with Serverless SQL Pool5:05
Lecture 6: Explore the Dedicated SQL Pool4:42
Lecture 7: Master the Azure Synapse Dedicated SQL Pool5:44
**Lecture 8: Get Started with Spark in Azure Synapse**9:49
Lecture 9: Create a Spark Pool in Azure Synapse8:54
Lecture 9: Create a Spark Pool in Azure Synapse6:58

Requirements

no prior experience with Azure Synapse Analytics is required.

Description

Learn Azure Synapse Analytics from the ground up and build practical data engineering and analytics skills using Microsoft Azure’s powerful unified analytics platform.

This course takes you through the core components of Azure Synapse Analytics, including Synapse Workspaces, Serverless SQL Pools, Dedicated SQL Pools, and Apache Spark Pools. You’ll learn how to work with real-world data formats such as CSV and JSON, write queries, explore data, and understand how different Synapse services fit together.

Throughout the course, you’ll follow practical, step-by-step demonstrations designed to help you understand not just how to use Synapse, but when and why to use each capability.

What You’ll Learn:

Create and configure an Azure Synapse Analytics Workspace
Navigate and understand the Synapse Studio environment
Query CSV and JSON data using Serverless SQL Pools
Understand and work with Dedicated SQL Pools
Learn the fundamentals of Apache Spark in Azure Synapse
Create and configure Spark Pools
Understand the role of SQL and Spark in modern data engineering
Build a strong foundation for real-world Azure data engineering and analytics projects

Whether you’re starting with Azure Synapse or looking to strengthen your data engineering skills, this course provides a practical foundation for working with modern cloud-based analytics solutions.OK

Who this course is for:

* Beginners who want to start a career in Azure data engineering and analytics. * Data Engineers and aspiring Data Engineers who want to master Azure Synapse Analytics. * Data Analysts and BI professionals who want to work with large-scale data and modern cloud analytics platforms. * SQL developers who want to expand their skills into Azure and cloud-based data solutions. * Cloud professionals who want practical experience with Azure Synapse, data pipelines, SQL, and Apache Spark. * Students and IT professionals preparing to work on real-world Azure data engineering and analytics projects. * Anyone looking to build end-to-end data solutions using Azure Synapse Analytics, even without prior Synapse experience.