Azure Data Factory is Microsoft’s cloud-based tool that helps businesses collect, organize, and move data from different sources into one place. Think of it like a factory line for data—taking raw information from different systems, cleaning it up, and delivering it in a usable form. This makes it easier for organizations to analyze information, generate reports, and make better business decisions without manual effort.
This certification is all about learning how to build and manage these data pipelines on Azure. You’ll explore how to connect data from on-premises systems, cloud platforms, or external applications and then transform it into insights. By mastering Azure Data Factory, professionals can help companies turn scattered information into powerful knowledge.
Who should take the Exam?
This exam is ideal for:
Data Engineers
ETL Developers
Cloud Engineers
Data Analysts
BI Developers
IT Professionals
Skills Required
Basic understanding of cloud computing
Knowledge of databases (SQL/NoSQL)
Knowledge of ETL (Extract, Transform, Load) concepts
Awareness of data security and compliance
Problem-solving and logical workflow design
Knowledge Gained
Creating and managing data pipelines in Azure
Connecting on-premises and cloud-based data sources
Transforming and cleaning data for analytics
Automating workflows for efficiency
Monitoring and troubleshooting data pipelines
Supporting advanced analytics and BI reporting
Course Outline
The Azure Data Factory Exam covers the following topics -
1. Introduction to Azure Data Factory
What is Azure Data Factory
Benefits of Data Integration on Azure
Key Use Cases
2. Core Concepts and Architecture
Pipelines and Activities
Datasets and Linked Services
Integration Runtimes
3. Data Ingestion & Integration
Connecting On-Premises Data
Cloud-to-Cloud Data Movement
Hybrid Data Integration
4. Data Transformation
Mapping Data Flows
Data Wrangling
Using Azure Databricks with ADF
5. Scheduling & Automation
Triggers and Scheduling Pipelines
Orchestration of Complex Workflows
Dependency Handling
6. Security & Compliance
Managing Access with Azure AD
Data Encryption and Masking
Compliance Standards
7. Monitoring & Optimization
Monitoring with Azure Monitor
Debugging and Troubleshooting Pipelines
Performance Tuning
8. Real-World Applications
Enterprise Data Warehousing
Business Intelligence Data Prep
Big Data and AI Integration
What We Offer?
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