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Azure Data Factory

Master data integration at scale with Azure Data Factory—build, automate, and manage cloud-based data pipelines across hybrid environments.
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Course Duration: 10 Hours
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The Azure Data Factory course provides a complete guide to Microsoft's cloud-based ETL (Extract, Transform, Load) and data integration service. Designed for data engineers, analysts, and cloud professionals, this course helps learners create and manage pipelines that move and transform data from various sources to target storage or analytics platforms.

Through real-world scenarios and guided labs, learners will understand how to ingest, orchestrate, and monitor data workflows across on-premises and cloud-based environments. You will work with tools like Azure Data Lake, Azure Synapse Analytics, and Azure Blob Storage while using Data Factory's low-code/no-code interface and JSON-based authoring.

Whether you are preparing for a data engineering role or looking to automate enterprise data flows, this course will give you the hands-on skills to succeed.

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Course Objectives Back to Top

By completing this course, learners will be able to:

  • Understand Azure Data Factory's architecture and components.

  • Build and deploy scalable data pipelines for ingestion and transformation.

  • Create linked services, datasets, and mapping data flows.

  • Schedule and trigger pipeline executions using event-based triggers.

  • Monitor pipeline performance and debug failures.

  • Integrate ADF with Azure Synapse, Data Lake, SQL, and Blob Storage.

  • Apply Data Flow transformations using GUI and Data Flow Expression Language.

  • Implement CI/CD pipelines with Git and Azure DevOps integration.

Course Syllabus Back to Top

Syllabus:

Module 1: Introduction to Azure Data Factory

  • What is ADF?

  • Use Cases and Benefits

  • ADF Architecture Overview

Module 2: Authoring Basics

  • Creating Linked Services and Datasets

  • Building Your First Pipeline

  • Debugging and Pipeline Execution

Module 3: Data Movement and Transformation

  • Copy Data Tool

  • Mapping Data Flows

  • Data Flow Expressions and Conditional Splits

Module 4: Triggers and Scheduling

  • Schedule, Tumbling Window, and Event Triggers

  • Dependency Handling and Pipeline Chaining

  • Parameters and Variables

Module 5: Integration with Other Azure Services

  • Azure Data Lake and Blob Storage

  • Azure SQL Database and Synapse Analytics

  • Logic Apps and Function Apps

Module 6: Monitoring and Management

  • Monitoring with Azure Monitor

  • Alerts and Retry Policies

  • Pipeline Logs and Debugging

Module 7: Security and Governance

  • Managed Identity and Key Vault Integration

  • Role-Based Access Control (RBAC)

  • Data Privacy and Encryption

Module 8: CI/CD and Automation

  • Git Integration with ADF

  • Deployment Using Azure DevOps

  • ARM Templates and JSON Export

Certification Back to Top
Learners who successfully complete this course will earn a Certificate of Completion from Uplatz, recognizing their skills in cloud-based data integration using Azure Data Factory. This certification supports roles in cloud data engineering, data architecture, and enterprise analytics.
Career & Jobs Back to Top

Azure Data Factory is widely used in enterprise data architecture and cloud migration. This course prepares learners for roles such as:

  • Azure Data Engineer

  • Data Integration Specialist

  • Cloud ETL Developer

  • Data Platform Engineer

  • Business Intelligence Consultant

Professionals with ADF skills are in demand in industries embracing cloud-native data infrastructure.

Interview Questions Back to Top
  1. What is Azure Data Factory and what problem does it solve?

  2. Explain the components of an ADF pipeline.

  3. How does a Mapping Data Flow differ from Copy Activity?

  4. What are triggers in ADF and how are they used?

  5. How do you handle errors and retries in a pipeline?

  6. How does ADF integrate with Azure Synapse Analytics?

  7. What is a linked service in ADF?

  8. How do you secure connections and secrets in ADF?

  9. Explain how CI/CD is implemented in Azure Data Factory.

  10. What are best practices for building scalable data pipelines?

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

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Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.



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