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Azure Data Factory Certification Training

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Learners : 1080

Duration :  25 Days

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About Course

🌐 What Is Azure Data Factory (ADF)?

Azure Data Factory (ADF) is a cloud-based data integration and ETL (Extract, Transform, Load) service provided by Microsoft Azure. It allows organizations to create, schedule, and orchestrate data workflows across on-premises and cloud environments. ADF enables seamless data movement and transformation at scale, supporting analytics, data warehousing, and business intelligence needs for modern enterprises.

Its core capabilities include:

  • Data Integration: Connects to 100+ on-premises and cloud data sources (like SQL Server, SAP, Salesforce, and AWS).
  • ETL/ELT Workflows: Build robust data pipelines for transforming and loading data efficiently.
  • Low-Code/No-Code Development: Design data workflows visually using the ADF studio interface.
  • Scalability & Automation: Automate big data workflows with triggers, scheduling, and parameterization.
  • Integration: Works seamlessly with Azure Synapse Analytics, Azure Data Lake, Power BI, and Azure Machine Learning.

📊 Course Features Typically Included

Leading training platforms (like Microsoft Learn, Udemy, Coursera, and Viswa Online Trainings) include:

✅ Instructor-led training and recorded sessions
✅ Hands-on labs for creating and managing data pipelines
✅ Assignments, real-world use cases, and quizzes
✅ Projects integrating ADF with Azure services (Data Lake, Synapse, Power BI)
✅ Certification and job interview preparation
✅ Lifetime access to learning materials and updated content

🎓 Key Learning Outcomes

After completing the Azure Data Factory training, learners will be able to:

  • Design and build data pipelines for ETL and data migration.
  • Integrate ADF with multiple Azure and third-party data sources.
  • Transform data using Data Flow and Mapping Data Flow.
  • Monitor and troubleshoot data pipeline executions.
  • Implement data orchestration and automation using triggers.
  • Collaborate with Azure DevOps for CI/CD in data engineering projects.

These skills prepare learners for roles such as:

  • Azure Data Engineer
  • ETL Developer / Data Integration Specialist
  • Data Analyst / BI Developer
  • Cloud Data Engineer
  • Big Data Engineer

📍 Bonus: Certification Tracks

Learners can pursue certifications such as:

  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Azure Fundamentals (AZ-900)
  • Azure Solutions Architect Expert

Certified Cloud Data Engineer (Viswa Online Trainings)

Azure Data Factory Training Course Syllabus

Introduction to Azure

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Azure Portal Overview

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Creating an Azure Data Factory

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Creating an Azure Data Lake

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Creating Storage Accounts

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Linked Services

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Datasets

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Pipelines

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Copy Activity

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Databricks Activity

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Get Metadata Activity

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General Activities

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Move and Transform activities

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Iteration and conditional activities

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Azure Functions

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DataFlows

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Integration RunTimes

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Triggers

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Azure Data Factory Course Key Features
  • Live Instructor based training with software
  • Certification Oriented content
  • Hands-on complete Realtime training
  • Flexible schedule demo's & classes
  • Live recorded videos access
  • Study material provided
  • JOB Assistance

Course completion certificate

Azure Data Factory Training - Upcoming Batches

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  • Instructor-Led training real time projects
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Corporate Training

  • Learn as a full day schedule with discussions, exercises.
  • Practical use cases.
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Azure Data Factorfy Online Training FAQ'S

What is Azure Data Factory and its purpose?

ADF is a serverless data integration service that allows building, scheduling, and orchestrating data pipelines for analytics and reporting.

 

What are Pipelines in ADF and why are they important?

Pipelines are workflow containers in ADF that organize multiple activities, enabling efficient ETL and data movement.

What are Linked Services in ADF?

Linked Services act like connection strings that link ADF to data sources such as Azure SQL, Blob Storage, or third-party APIs.

What is Mapping Data Flow in Azure Data Factory?

Mapping Data Flow provides a drag-and-drop interface to transform and cleanse data at scale without writing complex code

How does ADF integrate with other Azure services?

ADF works seamlessly with Azure Data Lake, Synapse Analytics, Databricks, SQL Database, and Power BI, enabling end-to-end data engineering workflows.

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