• views: 136
• date: 2 September 2025
• posted by: voska89

Build scalable pipelines, perform transformations, and integrate hybrid data sources with Azure Synapse
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
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 coversSetting up your Azure account and exploring Synapse StudioCopying 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 automationImplementing incremental data loads for efficiencyWorking with triggers — scheduled, tumbling window, event-based, and dependency-basedSecuring pipelines with Key Vault integration and monitoring with audit logs & notificationsMastering Data Flows: joins, filters, pivots, SCD (Slowly Changing Dimensions), and data quality checksBuilding end-to-end solutions with nested pipelines, master-child patterns, and notificationsUsing Synapse Notebooks with Spark utilities, external tables, and dedicated SQL poolsWhy take this course?Step-by-step guidance — no assumptions, everything explained in detailReal-world projects you can directly apply in your jobCovers both fundamentals and advanced techniques in one courseLearn how enterprises move, transform, and orchestrate data at scale in AzureGet job-ready skills to work as a Data Engineer, BI Developer, or Cloud ProfessionalBy 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
Homepage

https://www.udemy.com/course/mastering-azure-synapse-end-to-end-data-engineering/

   
   
   

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