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Azure Data Factory

Azure Data Factory Training in Hyderabad (Ameerpet)

Build Scalable Data Pipelines with Microsoft Azure Data Factory
Openminds Technologies offers hands-on Azure Data Factory (ADF) training to help you master cloud-based data integration. This course is designed to teach data engineers how to create, manage, and automate data workflows and pipelines using Microsoft’s powerful ETL service on Azure.

Course Highlights

✅ Design and manage ETL & ELT pipelines using Azure Data Factory
✅ Learn Mapping Data Flows, Linked Services, Triggers & Integration Runtimes
✅ Real-time project with end-to-end data pipeline architecture
✅ Ideal for Data Engineers, BI Developers & Cloud Professionals
✅ 100% Placement Assistance with resume and interview support

Practical Sessions to Learn with the experts.

  • Azure Data Factory Basics & Architecture

  • Creating and Managing Pipelines

  • Working with Datasets, Linked Services, and Parameters

  • Data Flow Activities and Control Flow

  • Integration with Azure Data Lake, Blob Storage, SQL Server

  • Monitoring, Debugging, and Scheduling Pipelines

  • Real-time Data Engineering Project Implementation

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SYLLABUS

  • What is Azure Data Factory (ADF)?

  • Use cases and industry applications

  • ADF architecture and key components

  • Integration with Azure ecosystem

Download Syllabus

  • Azure portal overview

  • Creating Azure resources

  • Azure Storage: Blob, Data Lake

  • Access control and role assignments

  • Pipelines

  • Activities

  • Datasets

  • Linked Services

  • Integration Runtimes

  • Mapping Data Flows

  • Data Transformation techniques

  • Control Flow: IF, ForEach, Until activities

  • Parameters and Variables

  • Copy Activity – source to sink

  • Transformation with Data Flows

  • Handling JSON, CSV, and Parquet formats

  • Moving data between on-prem and cloud

  • Azure Data Lake & Azure Blob Storage

  • Azure SQL Database and Synapse

  • Power BI integration

  • Logic Apps & Azure Functions

  • Monitoring pipeline runs

  • Using ADF monitoring tools

  • Error handling and logging

  • Performance tuning