Experience elite ETL design and SSIS cloud orchestration through this immersive Azure Data Factory bootcamp
Become a cloud-powered ETL expert by mastering Azure Data Factory and SSIS. Learn to build scalable data pipelines, migrate on-prem processes, and deploy enterprise-grade workflows—complete with internship and certification support, Crafted for forward-thinking cloud engineers and ETL visionaries driving next-gen data integration with Azure
Who Should Join This Course
– Final-year students from any stream ready to launch into cloud data careers
– Engineered for data pros and ETL experts evolving into cloud-native architects with Azure-driven transformation at their core
– SQL Server experts aiming to elevate their skills with cloud-native tools
– Candidates seeking roles like Azure Data Engineer, ETL Automation Specialist, or Cloud Data Integrator
Course Goals & Career Outcomes
– Explore Azure Data Factory architecture and its runtime ecosystem
– Deploy and operate SSIS packages in Azure-powered pipelines
– Build hybrid ETL systems using Azure-SSIS and self-hosted integration runtimes
– Automate cross-platform data transfers and transformations
– Set up security, scheduling, and monitoring for SSIS in Azure
– Prepare for top-tier data engineering roles and official Microsoft certifications
Technical Skills You’ll Master
– Building Azure Data Factory (ADF v2) pipelines from scratch
– Designing, migrating, and optimizing SSIS packages in cloud platforms
– Configuring Integration Runtimes (IR): both self-hosted and Azure-based
– Crafting Data Flows, Mapping Data Flows, and orchestrating Control Flows
– Seamlessly unify Azure SQL, Blob Storage, and Data Lake to create resilient, cloud-optimized data ecosystems for enterprise-grade ETL workflows
– Monitoring data activities, logging performance, and managing triggers
– Using PowerShell & ARM templates for automated deployment
Course Syllabus / Module Breakdown
– Overview of Azure Data Factory & SSIS Ecosystem
– Developing Pipelines & Linking Services in ADF
– SSIS Package Creation, Optimization & Cloud Deployment
– Setting Up Azure-SSIS Integration Runtime (IR)
– Hybrid Integration Workflows via Self-Hosted IR
– Using Parameters, Triggers & Scheduling Frameworks
– Pipeline Monitoring, Logging, and Error Management
– Bring together every skill you’ve mastered to architect, automate, and deploy a full-scale ETL pipeline across Azure’s data ecosystem in your capstone finale
Duration & Delivery Format
– Total Duration: 8 to 10 Weeks
– Format: Live Online Classes + Recorded On-Demand Access
– Schedule Options: Weekday and Weekend Batches
Tools & Technologies Covered
– Azure Data Factory Interface and Monitoring Tools
– SQL Server Integration Services (SSIS)
– Azure SQL Database & Blob Storage
– Empower your cloud data workflows with SSMS precision, SSDT development agility, and seamless control through Azure Portal’s unified interface
– PowerShell, Azure CLI & GitHub for DevOps integration
Internship Experience / Final Project
– 4-week cloud-based internship with real-time ETL project simulation
– Experience designing, deploying, and monitoring pipelines in Azure
Certification Track
– Certificate of Completion for Azure Data Factory + SSIS Training
– Internship Certificate for hands-on ETL project implementation
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