Azure Data Factory Corporate Training for Data Teams in India
Microsoft Azure Data Factory training built for companies: a full Azure Data Factory course or focused tracks for data engineers, analysts and SAP integration teams, delivered as online training or classroom sessions at your site in 10 major Indian cities. Includes a clear route to Microsoft’s current certification path and to Fabric Data Factory.
Why Corporate Teams Train on Azure Data Factory Together
Reviewed by the Advaith Technologies learning team, founded 2010 by Nehal Sawant. Last updated October 2026.
Azure Data Factory (ADF) is Microsoft’s managed service for building data integration pipelines. Most real-world problems with it are not about clicking through the interface. They come from design choices: how to load incrementally, how to parameterise pipelines so you do not clone them hundreds of times, how to secure connections, and how to promote changes safely between environments.
Our Azure Data Factory training teaches those design choices using your sources, naming standards and deployment process. Because Advaith Technologies is an SAP training specialist, we also cover extracting data from SAP systems, a topic generic online courses rarely handle.
Azure Data Factory Certification: What Actually Exists Today
Many people search for an Azure Data Factory certificate, but Microsoft has no certification dedicated only to Data Factory. The picture has also changed recently, so here is the current position.
| Credential | Status | Relevance to Data Factory |
|---|---|---|
| Azure Data Engineer Associate (exam DP-203) | Retired on 31 March 2025 | Covered Data Factory, but can no longer be taken or renewed |
| Fabric Data Engineer Associate (exam DP-700) | Current Microsoft data engineering certification | Covers Fabric data pipelines, the successor approach to ADF pipelines |
| Azure Data Fundamentals (exam DP-900) | Foundational. Check availability on Microsoft Learn | Core data concepts only, with no hands-on pipeline depth |
| Advaith training completion certificate | Issued by Advaith Technologies | Confirms participation in our hands-on program, and is not a Microsoft credential |
Microsoft administers its own exams and can change or retire them. Our training supports preparation, and we confirm current exam details with your team first. We do not conduct the exams or guarantee results.
Azure Data Factory vs Fabric Data Factory
Teams often ask whether they should still learn ADF. Many organisations run production workloads on it today, while Microsoft is directing new investment toward Microsoft Fabric. We teach both and help you plan the move. This summary reflects the position at the time of writing, and Microsoft keeps closing gaps between the two.
| Area | Azure Data Factory | Data Factory in Microsoft Fabric |
|---|---|---|
| Delivery | Standalone Azure service | Part of the unified Fabric platform |
| Pipelines | Pipelines, activities, datasets, linked services | Similar pipeline model, built into Fabric workspaces |
| Transformation | Mapping data flows and external compute | Dataflow Gen2 (Power Query) and Fabric notebooks |
| Connectivity to private sources | Self-hosted integration runtime and managed VNet | On-premises data gateway and Fabric networking options |
| Typical fit | Existing estates, SSIS lift and shift, broad connector needs | New projects centred on OneLake and Fabric workloads |
Azure Data Factory Full Course Syllabus (Detailed)
The full course runs 40 to 60 hours. We build role-based tracks from these modules and use your data sources for the labs.
Module 1: Data Integration Concepts and ADF Architecture
- ETL and ELT patterns, data lakes and the modern data stack
- ADF components: pipelines, activities, datasets, linked services, triggers
- Integration runtimes: Azure, self-hosted and Azure-SSIS
Module 2: Ingestion with Copy Activity
- Sources and sinks: Azure SQL, Blob Storage, Data Lake Storage Gen2, on-premises SQL Server and files
- File formats such as CSV, JSON, Parquet and Avro
- Performance tuning: parallel copy, data integration units and staging
Module 3: Control Flow and Parameterisation
- Lookup, Get Metadata, ForEach, If Condition, Switch and Until
- Parameters, variables, expressions and dynamic content
- Execute Pipeline, Web activity and error-handling patterns
Module 4: Mapping Data Flows
- Transformations: join, aggregate, derived column, window, pivot and conditional split
- Slowly changing dimensions and surrogate keys
- Debugging, data flow performance and cluster settings
Module 5: Incremental Loading and Metadata-Driven Design
- Watermark, change tracking and change data capture approaches
- Metadata-driven frameworks with control tables
- Restartability, idempotency and late-arriving data
Module 6: Triggers and Scheduling
- Schedule, tumbling window, storage event and custom event triggers
- Dependencies between pipelines and backfills
- Choosing the right trigger for the workload
Module 7: Networking, Runtimes and Hybrid Connectivity
- Installing and managing the self-hosted integration runtime
- Managed virtual network, private endpoints and firewalls
- Connecting securely to on-premises and restricted sources
Module 8: Security and Governance
- Managed identities, Azure Key Vault and secret handling
- Role-based access control and least-privilege design
- Data lineage, cataloguing and governance considerations
Module 9: Source Control and CI/CD
- Git integration, branching and collaboration
- Publishing, ARM templates and environment promotion
- Azure DevOps or GitHub release pipelines and testing practices
Module 10: Monitoring, Alerting and Cost Control
- Pipeline and trigger monitoring, rerun and debugging
- Alerts, Azure Monitor and Log Analytics
- Cost drivers and optimisation techniques
Module 11: Orchestrating the Wider Data Platform
- Running Databricks notebooks, Synapse and stored procedures
- Azure Functions and Logic Apps integration
- Medallion lakehouse pattern: bronze, silver and gold
Module 12: SAP Data Integration with ADF
- Overview of ADF connectors for SAP sources
- Extraction patterns, delta handling and volume considerations
- Landing SAP data in a lake and preparing it for analytics
Module 13: Moving to Fabric Data Factory
- Fabric pipelines, Dataflow Gen2 and Copy job overview
- Mapping existing ADF pipelines and identifying gaps
- Migration approach and Microsoft certification path guidance
Module 14: Capstone Lab and Assessment
- End-to-end project: ingest, transform, orchestrate, deploy and monitor
- Troubleshooting drill with realistic failures
- Pre and post assessment with individual action plans
How to Judge the Best Azure Data Factory Course
Whichever provider you choose, use this checklist for any Azure Data Factory online course:
- Does it go beyond Copy Activity? Real projects need parameterisation, incremental loads and error handling.
- Does it teach deployment? Git and CI/CD are what separate a demo from production work.
- Is it honest about certification? Microsoft retired DP-203, and no certification covers only Data Factory.
- Does it address Fabric? Microsoft’s direction affects what your team should learn next.
- Does it use your sources? Labs on realistic data and security setups beat generic samples.
- Are outcomes measured? Look for pre and post assessments, not only attendance.
Choose Your Azure Data Factory Learning Path
| Audience | Focus modules | Typical duration | Outcome |
|---|---|---|---|
| Data engineers (full course) | 1 to 14 | 40 to 60 hours | Design, deploy and run production pipelines |
| ETL developers moving from SSIS or Informatica | 1 to 6, 9 | 24 to 32 hours | Rebuild familiar patterns in ADF |
| Analysts and BI developers | 1, 2, 3, 6 | 16 to 20 hours | Automate data preparation for reporting |
| SAP integration teams | 1, 2, 5, 12 | 16 to 24 hours | Move SAP data into the cloud analytics layer |
| Platform and DevOps engineers | 7, 8, 9, 10 | 16 to 20 hours | Secure, release and monitor ADF at scale |
| Teams planning the Fabric move | 1, 3, 13 | 12 to 16 hours | Clear migration plan and updated skills |
| Leaders and architects | 1, 8, 13 overview | 6 to 8 hours | Make informed platform and governance decisions |
Azure Data Factory Training in Major Indian Cities, and Online
Our trainers come to your office or a nearby venue. For distributed teams, the Azure Data Factory course online option offers the same labs, trainers and assessments.
- Mumbai
- Delhi
- Bengaluru
- Hyderabad
- Chennai
- Pune
- Kolkata
- Ahmedabad
- Gurugram
- Noida
- Online (Pan-India)
We also serve 200+ other locations. Tell us where your team sits and we will plan the logistics.
How the Engagement Works
1. Discovery call
We review your sources, current ADF usage, security rules and team roles.
2. Custom design
Labs use your data patterns, naming standards and deployment process.
3. Delivery
Instructor-led, hands-on sessions online or in classroom, with assessments.
4. Review
We compare results with agreed expectations and plan next steps, including Fabric.
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Azure Data Factory Training and Certification: Frequently Asked Questions
What is Azure Data Factory?
Azure Data Factory (ADF) is Microsoft’s cloud data integration service for building, scheduling and monitoring pipelines that move and transform data between on-premises and cloud sources.
Is there an Azure Data Factory certification?
Microsoft does not offer a certification dedicated only to Azure Data Factory. The Azure Data Engineer Associate exam DP-203, which covered Data Factory, retired on March 31, 2025. Its successor is the Fabric Data Engineer Associate certification (exam DP-700), which includes Fabric pipelines. We confirm current Microsoft exam details with your team before planning.
Does the training prepare us for a Microsoft certification?
We cover the data integration skills that underpin Microsoft’s data engineering path and offer an add-on track on Fabric Data Factory and pipelines. Microsoft administers the exams, and we do not guarantee results.
Is online Azure Data Factory training available?
Yes. Every program runs live online with hands-on labs, the same trainers and the same assessments as classroom delivery.
Do participants receive a certificate?
Participants can receive an Advaith Technologies training completion certificate. Microsoft certifications are separate credentials issued by Microsoft after passing its exams.
Should we learn Azure Data Factory or Fabric Data Factory?
It depends on your estate. Many organisations still run production workloads in Azure Data Factory, while Microsoft is directing new investment toward Fabric. Our program teaches ADF and shows how skills and pipelines map to Fabric Data Factory.
Can you cover SAP data extraction with Azure Data Factory?
Yes. Because Advaith specialises in SAP training, we include a module on connecting ADF to SAP sources and designing extraction patterns, subject to your SAP landscape and licensing.
Which cities do you deliver in?
We deliver at client sites or nearby venues in Mumbai, Delhi, Bengaluru, Hyderabad, Chennai, Pune, Kolkata, Ahmedabad, Gurugram and Noida, plus 200+ other locations.
How long is the program?
A full course typically runs 40 to 60 hours. A core pipeline-building program runs 24 to 32 hours, and a Fabric Data Factory migration add-on runs 12 to 16 hours. We confirm duration after a needs discussion.
Plan Your Azure Data Factory Training with Advaith Technologies
Share your data sources, team roles and goals. We will send a customised syllabus and schedule.