Mastering Azure Synapse : End-to-End Data Engineering

Name: Mastering Azure Synapse : End-to-End Data Engineering
Rating: 3.5 (3 reviews)

Build scalable pipelines, perform transformations, and integrate hybrid data sources with Azure Synapse

Created byMallaiah Somula

Last updated 5/2026

English

What you'll learn

Set up an Azure account, subscription, and resources for data engineering projects
Create and manage Azure Synapse pipelines for data integration and automation
Build scalable data ingestion solutions from databases, APIs, cloud storage, and on-premises systems
Implement incremental data loads, event-based triggers, tumbling windows, and scheduled executions
Apply logging, notifications, and secure key management to ensure reliability and governance
Design and execute data transformations including joins, lookups, pivots, unpivots, and Slowly Changing Dimensions (SCD Type 1 & Type 2)
Integrate external services such as Snowflake, AWS S3, and REST APIs into Synapse pipelines
Use Synapse Notebooks, external tables, and advanced query options for analytics and automation
Solve real-world data engineering problems with advanced pipeline patterns and dependencies
- Implement full load and incremental load strategies using Lakehouses, Warehouses, and Auto-refresh techniques
- Design multi-dependency jobs using pipeline activities, triggers, and workspace orchestration
- Create reusable pipelines with parameterized components for scalable ingestion and transformation

Course content

10 sections • 39 lectures • 42h 59m total length

Hands-On : Introduction to Data & Copying Data Between Blob Containers using ADF54:59
Learn to build your first Synapse pipeline in the Azure Data Factory UI to copy data between blob containers, with a hands-on lab on linked services, datasets, and copy activity.
Hands-On : Creating an Azure Account and Subscription53:59
Create an Azure portal account, configure a subscription, resource group, and region, and learn about free trial options while provisioning storage and analytics services like Synapse, Databricks, and Data Factory.

Hands-On : Copy Multiple Files Using Wildcard Options59:04
Learn to copy files between blob storages with Azure Synapse using wildcard options, covering single and multiple file transfers, csv filtering, and prefix-based rules in a copy pipeline.
Hands-On : Copy Multiple Folders with Lookup, ForEach, and Dataset Parameters59:43
Demonstrates copying multiple folders from source to sink blob storage using parameterized datasets, lookup and for each with dynamic container names in Azure Synapse.
Hands-On: Copy Data from SQL Database Tables to Blob Storage (Dataset Parameter)58:00
Hands-On : Copy Data from SQL Database using Table, Query, and Stored Procedure58:23
Explore end-to-end data copy from sql database to blob and data lake storage using table, query, and stored procedure in azure synapse, with filtering and load date.
Hands-On : Copy Multiple Tables from SQL DB Using Lookup, If, Forach and Copy58:50

Hands-On : Logging Pipeline Audit Data into Azure SQL Database57:57
Hands-On : Integrating Azure Key Vault with Synapse for security | Notifications1:23:58
Hands-On : Using ForEach Loops to Copy Multiple Tables with Logs &Notifications1:15:51
Apply hands-on for-each loops to copy multiple tables with pipeline logs and notifications, using lookup, get metadata, and if to handle existence plus success and failure logs.

Hands-On : Incremental Load from SQL Database to Blob Storage1:07:36
Hands-On : Multi-Table Incremental Load from SQL Database to Blob Storage1:02:56
Learn to implement multi-table incremental loads from SQL database to blob storage using Azure Synapse. Design a table configuration driven pipeline with delta columns and last processed values.
Hands-On : Incremental Copy of New and Changed Files Based on Last Modified Date1:11:12
Learn to incrementally copy new and changed files using last modified date and change data capture in Azure Synapse, with ADLS Gen2 folders and SQL metadata.

Hands-On : Event-Based Triggers in Synapse1:02:26
Learn to automate data pipelines in Azure Synapse using event-based triggers that respond to new files in blob storage, copying data to data lake storage gen2 with dynamic parameters.
Hands-On : Tumbling Window Triggers with Data Lake Storage Gen258:33
Master tumbling window triggers in Azure Synapse to load historical data from Data Lake Gen2, configuring daily windows and pipeline parameters for replaying past data.
Hands-On : Scheduled Triggers: Minute, Hourly, Daily, Weekly, and Monthly Jobs1:05:36

Hands-On : Copy Data from On-Premises SQL Server to Data Lake (Self-Hosted IR )1:17:31
Hands-On : Load Data from On-Premises File System to ADLS Gen250:35
Learn how to load data from on-premise file systems into Data Lake Storage Gen2 using Azure Synapse pipelines, including setting up a self-hosted integration runtime and file-system linked services.
Hands-On : Ingest Data from On-Premises SQL Server to Synapse Dedicated Pool1:18:05

Hands-On: Ingest Data from REST APIs into ADLS Gen2 (Ranged IDs & Multiple APIs)1:02:17
Hands-On : Multi-Trigger Dependency Handling for File Arrivals1:12:49
Orchestrate multi-trigger file arrivals in Azure Synapse, using get metadata, until and wait activities, with event-based triggers to copy data to ADLS only after all three source jobs complete.
Hands-On : Multi-Trigger Dependencies within the Same Folder1:08:16
Explore multi-trigger dependencies in a single folder using Azure Synapse, validating trigger files with Get metadata and executing an until-based ingestion pipeline when all files are present.
Hands-On : Automating Pipeline Runs for Incoming Emails with Attachments1:02:57
Hands-On : Sending Emails with Attachments from Azure Synapse1:13:25
Learn end-to-end data engineering in Azure Synapse by sending attachments via Logic Apps: copy summary files from ADLS Gen2 to Blob storage or SQL, then email with attachment.
Hands-On : Creating a Free Snowflake Trial Account59:32
Discover how to create a free Snowflake trial account on Azure, and learn to copy data between Snowflake and ADLS Gen2, using blob storage as a staging layer.
Hands-On : Copying Data Between Snowflake, AWS S3, and Azure Data Lake1:04:45
Copy data between Snowflake and Azure Data Lake Gen2 using Azure Synapse, with blob storage as staging, SAS-based authentication, and explicit table creation for reverse workflows.

Hands-On : Introduction to Data Flows and Transformations1:03:26
Explore Azure data flows and UI-based transformations, where a Spark backend translates your UI steps into scalable code. Discover pipeline orchestration, debug, and preview on Databricks-backed clusters.
Hands-On : SQL Transformations as a Prerequisite for Data Flows1:02:39
Master SQL basics, including joins and aggregate functions, to enable data flows. Understand normalization, relational databases, and foreign keys to model data for Azure Synapse end-to-end data engineering.
Hands-On : Joins in Data Flows (Inner, Outer, etc.)1:12:33
Hands-On : Data Quality Checks with Data Flows1:16:00
Learn to perform data quality checks with data flows in Azure Synapse: identify duplicates, nulls, and date format errors, segregate good and bad data, and log reject reasons.
Hands-On : Slowly Changing Dimension (SCD) Type 11:27:36
Explore slowly changing dimension type one in Azure Synapse data flows, using surrogate keys and CRC32 to manage updates and inserts across day one to day three.
Hands-On : Slowly Changing Dimension (SCD) Type 21:14:27
Implement slowly changing dimension type 2 in Azure Synapse, preserving history with effective start time, end time, is active flags, and surrogate keys.
Hands-On : SCD Type 1 with Data Lake as Sink1:09:46
Hands-On : Advanced Joins with Filters & Lookup vs Joins58:28
Master advanced joins in Azure Synapse data flows with filters and learn the lookup versus join differences. Apply left and anti joins to isolate non-matching records.
Hands-On : Pivot and Unpivot Transformations57:04

Hands-On : Working with External Tables in Dedicated & Serverless SQL Pools1:10:50
Learn to create external tables in dedicated and serverless SQL pools in Azure Synapse, linking to data lake or blob storage and defining path, format, and schema.
Hands-On: Introduction to Synapse Notebook, mssparkutilities, Mounting ADLS Gen21:06:35
Hands-On : Key Vault Integration | Executing Notebooks from Pipeline1:13:52
Mount an Azure data lake Gen2 in Synapse notebooks using Key Vault secrets to securely fetch access keys, then execute notebooks from Synapse pipelines.

Requirements

No prior experience required — you will learn everything from scratch
A computer with internet access
Basic understanding of databases (SQL fundamentals like tables, queries, and stored procedures) is helpful but not mandatory
Familiarity with cloud concepts (storage, compute, networking basics) is helpful but not mandatory
No prior knowledge of Synapse pipelines or data flows required — everything is explained step by step

Description

Are you ready to become a skilled Data Engineer using Azure Synapse?
This course takes you on a complete, hands-on journey — from data ingestion to transformation, orchestration, and real-world automation. Whether you are a beginner exploring cloud data pipelines or a professional looking to advance your career, this course equips you with the knowledge and confidence to work on end-to-end data engineering projects in Azure.

You’ll start with the fundamentals of Azure and Synapse pipelines, then progress to advanced concepts like incremental loads, triggers, orchestration, on-premises integrations, REST API ingestion, Snowflake and AWS S3 connectivity, and data transformation using Data Flows. By the end of the course, you’ll be able to design, build, and automate enterprise-grade data solutions.

What this course covers

Setting up your Azure account and exploring Synapse Studio
Copying data across multiple sources (Blob, SQL, Data Lake, REST APIs, Snowflake, AWS S3, and on-prem systems)
Using pipeline activities like Lookup, ForEach, GetMetadata, If conditions, and parameters for automation
Implementing incremental data loads for efficiency
Working with triggers — scheduled, tumbling window, event-based, and dependency-based
Securing pipelines with Key Vault integration and monitoring with audit logs & notifications
Mastering Data Flows: joins, filters, pivots, SCD (Slowly Changing Dimensions), and data quality checks
Building end-to-end solutions with nested pipelines, master-child patterns, and notifications
Using Synapse Notebooks with Spark utilities, external tables, and dedicated SQL pools

Why take this course?

Step-by-step guidance — no assumptions, everything explained in detail
Real-world projects you can directly apply in your job
Covers both fundamentals and advanced techniques in one course
Learn how enterprises move, transform, and orchestrate data at scale in Azure
Get job-ready skills to work as a Data Engineer, BI Developer, or Cloud Professional

By the end of this course, you will not just understand Synapse pipelines — you will be able to confidently design, automate, and manage enterprise data solutions that are scalable, efficient, and production-ready.

Let’s start building your end-to-end data engineering journey with Azure Synapse!

Who this course is for:

Data Engineers & Developers looking to build expertise in Azure Synapse for real-world projects
ETL / ELT Developers who want to modernize their skills using cloud-native pipelines
Business Intelligence & Analytics Professionals who need to move, transform, and automate data at scale
Students & Beginners in Data Engineering who want hands-on practice with pipelines, triggers, transformations, and integrations
Cloud Engineers aiming to integrate multiple data sources like SQL, APIs, AWS S3, Snowflake, and on-prem systems into Azure Synapse

Mastering Azure Synapse : End-to-End Data Engineering

What you'll learn

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Course content

Foundational Concepts for Azure Synapse: Introduction to Data Factory2 lectures • 1hr 49min

Data Movement Basics in Synapse Pipelines5 lectures • 4hr 54min

Pipeline Logging, Security & Notifications3 lectures • 3hr 38min

Incremental Data Loads3 lectures • 3hr 22min

Triggers and Pipeline Automation3 lectures • 3hr 7min

Hybrid Data Integration (On-Premises to Cloud)3 lectures • 3hr 26min

Working with REST APIs and External Integrations7 lectures • 7hr 44min

Advanced Pipeline Orchestration1 lecture • 1hr 7min

Data Transformations with Synapse Data Flows9 lectures • 10hr 22min

Advanced Analytics with Synapse SQL & Notebooks3 lectures • 3hr 31min

Requirements

Description

Who this course is for: