Our Azure Data Factory Certification course provides comprehensive training in Microsoft’s cloud-based data integration service, Azure Data Factory. Led by Azure experts, you’ll learn to create, schedule, and orchestrate data workflows using Azure Data Factory’s powerful ETL (Extract, Transform, Load) capabilities. Through hands-on labs and real-world scenarios, you’ll gain practical experience in ingesting, transforming, and analyzing data at scale. The course covers key components such as pipelines, activities, and data flows, equipping you with the skills to build efficient data integration solutions in Azure. Ideal for data engineers and developers looking to leverage Azure Data Factory for modern data integration and analytics projects.

Course details:

Course Title: Azure Data Factory

Overview: Our Azure Data Factory training course provides comprehensive instruction on leveraging Microsoft Azure Data Factory for building and managing data integration and ETL (Extract, Transform, Load) pipelines. Participants will learn how to efficiently ingest, transform, and process data from various sources using Azure Data Factory’s powerful features.

Course Objectives:

Understand the fundamentals of data integration and ETL processes.
Learn to create and configure data pipelines in Azure Data Factory.
Gain hands-on experience in orchestrating data workflows and activities.
Develop proficiency in using data transformation techniques and data manipulation tasks.
Understand best practices for monitoring, managing, and optimizing data pipelines in Azure Data Factory.

Key Topics Covered:

Introduction to Azure Data Factory and Data Integration Concepts
Data Ingestion from Various Sources (e.g., Azure Blob Storage, SQL Database, On-Premises)
Data Transformation and Mapping Activities
Data Orchestration and Workflow Management
Integration with Azure Services (e.g., Azure Synapse Analytics, Azure Databricks)
Error Handling and Monitoring in Azure Data Factory
Security and Compliance Considerations
Advanced Data Factory Features and Capabilities
Real-world Use Cases and Case Studies
Best Practices for Designing and Implementing Data Pipelines

Course Duration: The Azure Data Factory training course is conducted over a period of 3 Months, with both online and offline learning options available.

Prerequisites: Basic understanding of data concepts and familiarity with Microsoft Azure platform is recommended. No prior experience in Azure Data Factory is required.

Certification: Upon successful completion of the course and passing the final assessment, students will receive a certificate in Azure Data Factory Training from CipherNet Innovations & Technologies Private Limited.

Career Opportunities: Graduates of this course can pursue various roles in data engineering, ETL development, and cloud data integration, including:

Data Engineer
ETL Developer
Data Integration Specialist
Azure Data Engineer
Cloud Solutions Architect

Enrollment: Ready to harness the power of Azure Data Factory for your data integration needs? Enroll in our Azure Data Factory training course today and become proficient in building and managing data pipelines in the cloud.