Azure Data Factory Training
Master Azure Data Factory (ADF) from scratch at COSS Dilsukhnagar. Build robust ETL/ELT pipelines, integrate data sources, and deploy solutions for Hyderabad's top IT firms.
Course Overview
Hey there! Ready to jump into the exciting world of data engineering? If you're eyeing a career building robust data pipelines, then this Azure Data Factory (ADF) training at COSS is exactly what you need. I'm [TRAINER_NAME], and I'll walk you through everything from the absolute basics to complex data orchestrations. You'll learn to design, build, and deploy powerful ETL/ELT solutions using ADF, connecting to all sorts of data sources. We'll get hands-on with Azure Data Lake Storage Gen2, Azure Synapse Analytics, and even integrate with Azure Databricks for advanced transformations. By week 3, you'll be comfortable moving data efficiently, making it ready for analysis. How cool is that? We don't just talk theory; you'll tackle 10+ practical projects, just like what you'd see at companies in Gachibowli. The demand for skilled Azure Data Engineers in Hyderabad is huge. Companies like Amazon Hyderabad and Microsoft IDC are constantly looking for folks who can manage their massive data estates. After this course, you could be looking at an average starting salary of ₹5.5 Lakhs to ₹9 Lakhs per annum here in Hyderabad, depending on your prior experience. We'll also cover key concepts for the DP-203 Azure Data Engineer Associate exam, so you're prepped for certification. Our next batch kicks off on [BATCH_DATE], and we offer flexible weekend batches too, perfect if you're already working. You can join us at our Dilsukhnagar or Ameerpet centres – whichever is convenient for you. Ready to transform raw data into valuable insights? Let's build some amazing pipelines together!
What You Will Learn
- ✓ Build ETL/ELT pipelines using Azure Data Factory
- ✓ Master data integration with various Azure services
- ✓ Learn Mapping Data Flows for code-free transformations
- ✓ Integrate ADF with Azure Synapse, Databricks, and ADLS Gen2
- ✓ Implement CI/CD for data pipelines with Azure DevOps
- ✓ Complete 10+ real-world data engineering projects
- ✓ Prepare for the Microsoft DP-203 certification
- ✓ Understand monitoring, security, and optimization in ADF
Tools & Technologies
Syllabus
1Module 1: Azure Fundamentals & Data Engineering Concepts+
- Introduction to Azure Cloud Platform
- Azure Resource Groups and Subscription Management
- Azure Storage Accounts (Blob Storage, ADLS Gen2)
- Core Concepts of Data Engineering & ETL/ELT
- Data Warehousing vs. Data Lake concepts
2Module 2: Azure Data Factory Core Components+
- ADF UI and Workspace Navigation
- Linked Services: Connecting to Data Stores & Compute
- Datasets: Defining Data Structures
- Pipelines: Orchestrating Data Flows
- Activities: Copy Data, Lookup, Stored Procedure, Web Activity
- Integration Runtimes: Azure, Self-Hosted, SSIS
3Module 3: Data Movement and Transformations+
- Copy Data Activity: Advanced Options and Performance Tuning
- Data Flow Activity: Introduction to Mapping Data Flows
- Source and Sink Transformations
- Join, Union, Aggregate, Conditional Split Transformations
- Derived Column, Select, Filter Transformations
4Module 4: Advanced ADF Features & CI/CD+
- Parameters, Variables, and Expressions in Pipelines
- Control Flow Activities: ForEach, If Condition, Switch
- Triggers: Schedule, Tumbling Window, Event-Based
- Error Handling and Retry Mechanisms
- Source Control Integration (Git) with Azure DevOps
- Implementing CI/CD for ADF Pipelines
5Module 5: ADF Integrations with Azure Services+
- ADF with Azure Data Lake Storage Gen2 (Parquet, CSV, JSON)
- ADF with Azure SQL Database and Azure SQL Data Warehouse
- Integrating with Azure Synapse Analytics for Data Warehousing
- Orchestrating Azure Databricks Notebooks from ADF
- Azure Key Vault Integration for Secure Credentials
6Module 6: Monitoring, Security & Optimization+
- Monitoring ADF Pipelines via Monitoring Hub
- Setting up Alerts and Diagnostic Settings
- Logging and Auditing Pipeline Runs
- Managed Identities for Secure Access
- Performance Tuning and Best Practices for ADF
- Cost Management and Optimization Strategies
7Module 7: Real-world Projects & Certification Prep+
- End-to-End Data Ingestion and Transformation Project
- Building a Data Lake ingestion pipeline
- Developing a Data Warehouse loading process
- DP-203: Azure Data Engineer Associate Exam Review
- Mock Interviews and Resume Building Tips
- Troubleshooting Common ADF Issues