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Azure Data Factory Training in Pune

Live Instructor LED Online Training
Learn from Certified Experts

Classes for Beginners and Advanced Students.
In Azure Data Factory, you may Learn by Doing.
13492+ Students Trained & 370+ Clients Recruited.
In Azure Data Factory, the Best Training for Interview Preparation Techniques is available.
Presented by an Azure Data Factory Certified Expert with more than 12+ years of experience.
Expenses are Affordable, and the Program is designed by an Industrial Azure Data Factory Expert.
Learner Portal, Study Materials, Videos, and Top MNC Interview Questions are all available for a lifetime.
Next Azure Data Factory Training Batch to Begin this week – Enroll Your Name Now!

Join Our Azure Data Factory Training Institute In Pune To Develop Data Integration Expertise.
Gain Practical Skills By Creating Azure Data Factory Pipelines Through Hands-On Training.
Receive Professional Guidance And Placement Assistance To Pursue Cloud Data Engineering Careers.
Build Career-Ready Azure Data Factory Skills With Live Projects And Industry-Oriented Training.

Job Assistance

1,200+ Enrolled

In collaboration with

65+ Hrs.

Duration

Online/Offline

Format

LMS

Life Time Access

10k+ Placed Students Download Curriculum Interview Questions

Quality Training With Affordable Fee

⭐ Fees Starts From

INR ~~36,000~~

INR 16,500

100% Placements | Get Hired in Top MNC

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Build Strong Azure Data Factory Training in Pune

Our Azure Data Factory Training in Pune helps learners build cloud data integration expertise through pipeline creation, scheduling, monitoring, and management. The program develops practical skills for designing scalable workflows and handling modern data integration requirements across cloud platforms.
The course explains pipelines, datasets, linked services, integration runtime, workflow orchestration, automation, data transformation, monitoring, and performance tuning. Learners understand how to create efficient data workflows and manage reliable integration processes in enterprise environments.
Learners gain practical exposure through exercises involving pipeline development, cloud and on-premises integration, scheduling, automation, monitoring, and troubleshooting. These activities improve technical confidence and prepare participants to handle real-time Azure Data Factory implementation projects.
Experienced Azure experts provide industry-focused training on implementation methods, best practices, troubleshooting, and project strategies. Learners gain skills to resolve integration issues, optimize workflows, and apply effective cloud data engineering techniques.
Azure Data Factory Training in Pune combines practical assignments, real-time projects, and business scenarios to strengthen cloud data engineering skills. Learners apply technical concepts, understand industry workflows, and develop confidence in managing modern data integration challenges.
After completing the training, learners receive career assistance through resume preparation, interview coaching, mock interviews, career counseling, and job guidance. These services help improve professional profiles and prepare candidates for suitable cloud data engineering opportunities.

What You Will Learn in Azure Data Factory Training

Master Azure Data Factory fundamentals, including pipelines, datasets, linked services, integration runtime, and key concepts for cloud-based data integration.

Gain practical project experience in data migration, workflow automation, pipeline scheduling, and enterprise data transfer using Azure Data Factory.

Learn to automate workflows, monitor pipelines, transform information, and integrate diverse data sources with Azure services and cloud-based tools.

Advance your career through expert-led training, hands-on practice, certification guidance, and placement assistance for Azure Data Engineering opportunities.

Your IT Career Starts Here

550+ Students Placed Every Month!

Get inspired by their progress in the Career Growth Report.

Other Categories Placements

Non-IT to IT (Career Transition) 2371+
Diploma Candidates3001+
Non-Engineering Students (Arts & Science)3419+
Engineering Students3571+
CTC Greater than 5 LPA4542+
Academic Percentage Less than 60%5583+
Career Break / Gap Students2588+

Top Placement Record

Upcoming Batches For Classroom and Online

Weekdays

24 - August - 2026

08:00 AM & 10:00 AM

Weekdays

26 - August - 2026

08:00 AM & 10:00 AM

Weekends

29 - August - 2026

(10:00 AM - 01:30 PM)

Weekends

30 - August - 2026

(09:00 AM - 02:00 PM)

Can't find a batch you were looking for?

INR 16,500

INR ~~36,000~~

OFF Expires in

BOOK A FREE DEMO CLASS

Who Should Take a Azure Data Factory Certification Course

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Diploma Holders

Professionals from Other Fields

Salary Hike

Graduates with Less Than 60%

Job Roles For Azure Data Factory Certification Training

Azure Data Engineer

Data Engineer

Cloud Data Engineer

Azure Data Architect

Big Data Engineer

ETL Developer

Data Pipeline Engineer

Azure Analytics Engineer

What’s included ?

📊 Free Aptitude and Technical Skills Training

Learn basic maths and logical thinking to solve problems easily.
Understand simple coding and technical concepts step by step.
Get ready for exams and interviews with regular practice.

🛠️ Hands-On Projects

Work on real-time projects to apply what you learn.
Build mini apps and tools daily to enhance your coding skills.
Gain practical experience just like in real jobs.

🧠 Launch Your Career in Top MNC Companies

Master technical and HR interview rounds.
Gain confidence with expert mock interview practice.
Improve your chances of getting hired faster.

🎯 Interview Preparation For Freshers

Practice company-based interview questions.
Take online assessment tests to crack interviews
Practice confidently with real-world interview and project-based questions.

🧪 LMS Self Learning Platform

Explore expert trainer videos and documents to boost your learning.
Study anytime with on-demand videos and detailed documents.
Top MNC interview questions & self coding practice.

Curriculum

Syllabus of Azure Data Factory Course in Pune

Module 1: Introduction to Azure Data Factory

Introduction to Azure Data Factory and its uses
Overview of data integration and ETL processes
Core concepts of cloud data engineering
ADF architecture and environment setup
Understanding resources, pipelines, and datasets
Overview of the Azure Portal and ADF Studio
Roles and responsibilities in data projects

Module 2: Data Ingestion and Copy Activity

Fundamentals of copying data in ADF
Creating and managing pipelines
Configuring Copy Data Activity
Mapping data columns and schemas
Performance tuning for data copy
Error handling and retry policies
Best practices for data ingestion

Module 3: Data Transformation with Data Flows

Understanding Mapping Data Flows
Building data transformation logic
Working with data flow expressions
Joining, aggregating, and filtering data
Handling derived columns and lookups
Data flow debugging and monitoring
Optimizing data flow performance
Implementing slowly changing dimensions (SCD)

Module 4: Azure Data Factory Development Basics

Introduction to ADF development
Using Parameters and Variables
Creating reusable pipelines
Using For Each and Until activities
Storing configuration in Azure Key Vault
Scripting with PowerShell and Azure CLI
Debugging and troubleshooting pipelines

Module 5: Triggers, Scheduling, and Execution

Introduction to ADF Triggers
Creating Schedule Triggers
Managing trigger dependencies
Pipeline execution and runs
Managing multiple triggers
Event-based integration with Event Grid
Trigger customization and advanced settings
Monitoring and troubleshooting triggers

Module 6: Advanced ADF Concepts

ADF security and identity management
Managed Identity for Azure resources
Connecting to on-premises data sources
Virtual Network Service Endpoints
Data Partitioning and parallel copy
ADF integration with other Azure services
Best practices for large-scale data projects

Module 7: Deployment, Monitoring, and Security

Managing multiple environments (Dev, Test, Prod)
Unit and integration testing for pipelines
Monitoring pipeline runs with Azure Monitor
Setting up alerts and notifications
Troubleshooting deployment issues
Logging and auditing
Optimization strategies

Module 8: Real-Time Projects and Certification

Resume building and portfolio creation
Interview preparation and mock sessions
Placement assistance and career guidance
Building end-to-end data pipelines
Implementing data transformations
Performance and optimization tasks

Show Less

Course Objectives

What Is Azure Data Factory Training In Pune?

Azure Data Factory Training in Pune teaches cloud data integration, pipeline development, workflow automation, and enterprise data movement. Learners gain practical skills to build scalable data solutions and pursue cloud data engineering careers.

What Practical Skills Will I Gain From The Training?

Learners practice pipeline creation, cloud and on-premises integration, workflow automation, scheduling, monitoring, and troubleshooting through real-time Azure Data Factory projects.

Is Azure Data Factory A Promising Career Option?

Yes. Growing cloud adoption has increased demand for professionals skilled in data integration and engineering.

Strong Demand For Cloud Data Skills
Wide Range Of Career Roles
Modern Data Engineering Expertise
Good Career Growth Potential

Can Beginners Start Learning Azure Data Factory?

Yes. Beginners can learn Azure Data Factory from the fundamentals and gradually progress to advanced features through guided practice and real-world projects.

What Are The Main Goals Of This Course?

Understand Azure Data Factory Architecture
Create And Manage Data Pipelines
Learn Cloud Data Integration Techniques
Develop Workflow Automation Skills

Which Tools And Services Are Covered?

Training includes Azure Data Factory, Azure Blob Storage, Azure SQL Database, Azure Data Lake Storage, and Azure Monitor for developing and managing cloud data solutions.

What Careers Can I Pursue After Azure Data Factory Training?

Azure Data Factory Developer
Cloud Data Engineer
Azure ETL Developer
Data Integration Engineer
Data Platform Engineer

What Are The Benefits Of Learning Azure Data Factory?

The training develops cloud integration expertise, strengthens technical abilities, improves career prospects, and prepares learners to work with modern data engineering technologies.

What Are The Prerequisites For Azure Data Factory?

Basic knowledge of SQL, databases, cloud concepts, and data processing is helpful. A computer with stable internet access is recommended for practical learning.

Is Azure Data Factory Difficult For New Learners?

Azure Data Factory is beginner-friendly with structured training. Practical exercises, instructor guidance, and real-time projects make it easier to understand and apply core concepts.

Which Job Roles Are Available After Training?

Azure Data Factory Developer
Azure Data Integration Engineer
Cloud Data Engineer
Azure ETL Developer
Data Platform Engineer

Does The Course Include Internship Or Project Training?

Yes. Practical Azure Data Factory internship and project training covers pipeline development, workflow automation, cloud data processing, and industry-based scenarios to strengthen technical skills and job readiness.

Overview of Azure Data Factory Course in Pune

Azure Data Factory is a cloud-based data integration platform that enables organizations to collect, connect, transform, and manage information from multiple sources through automated and scalable workflows. It allows data engineers to create, schedule, monitor, and maintain pipelines for seamless data movement across cloud and on-premises environments. Azure Data Factory integrates with databases, storage systems, applications, and Azure services, making it valuable for enterprise data operations. The Azure Data Factory Course in Pune helps learners understand pipeline development, workflow automation, data transformation, integration runtime, scheduling, monitoring, and secure data connectivity. By minimizing manual data processing and streamlining workflows, Azure Data Factory supports reliable solutions for analytics, reporting, and business intelligence. The Azure Data Factory Course in Pune also includes practical learning and an Azure Data Factory Internship, enabling participants to gain project-based experience, strengthen cloud data engineering skills, and prepare for modern data engineering career opportunities.

Additional Info

Key Roles and Responsibilities of Data Professionals

Pipeline Developer: Builds and maintains Azure Data Factory pipelines, automates data transfers, monitors workflows, and improves processing across cloud and local environments.
ETL Specialist: Develops cloud ETL processes to extract, transform, and load data while improving data quality, integration efficiency, and reporting support for businesses.
Azure Integration Engineer: Connects applications, databases, APIs, and enterprise platforms using Azure Data Factory to enable secure and seamless data integration.
Data Workflow Engineer: Manages automated pipelines, schedules data jobs, tracks performance, and fixes workflow issues to maintain dependable cloud data operations.
BI Data Specialist: Creates integrated, analytics-ready datasets through Azure Data Factory workflows to support accurate reporting, business intelligence, and informed decisions.
Cloud Data Specialist: Develops scalable cloud data solutions by connecting databases, storage, and processing services through Azure Data Factory for efficient data management.

Popular Tools Taught in Azure Data Factory Training in Pune

Azure Data Factory: A cloud integration service used to design data pipelines, automate workflows, transfer information, transform datasets, and connect cloud with on-premises data sources.
Synapse Analytics: A powerful analytics platform for handling large datasets, running data analysis, creating insights, and supporting enterprise reporting with Data Factory workflows.
Blob Storage: A scalable Azure storage service for storing files, backups, logs, and unstructured information that can be accessed, processed, and managed through Data Factory pipelines.
Data Lake Gen2: A secure and scalable storage platform for organizing structured and unstructured big data, supporting analytics workloads and Data Factory pipeline integration.
SQL Managed Instance: A managed database service used to store and access enterprise information while supporting data migration, integration, and processing through Data Factory solutions.
Git Integration: A version control capability that supports team collaboration, change tracking, source management, version history, and streamlined deployment for Data Factory projects.

Career Opportunities in Azure Data Factory r

Cloud Integration Demand: Expanding cloud usage and growing data volumes are increasing the need for Azure Data Factory professionals who can develop scalable integration solutions.
Data Connectivity: Organizations require smooth data movement between databases, applications, and cloud services, creating career opportunities for skilled Data Factory professionals.
Data Engineering Trends: Azure Data Factory supports modern workflows and enterprise integration, helping professionals contribute to digital transformation and cloud data projects.
Skill Advancement: Regular Azure updates provide opportunities to learn new capabilities, improve technical knowledge, and remain competitive in the changing cloud technology market.
Industry Demand: Banking, healthcare, retail, manufacturing, and IT organizations use Azure Data Factory, creating opportunities for professionals skilled in cloud data integration.
Career Potential: Increasing cloud adoption and enterprise data needs are creating sustainable career opportunities for Azure Data Factory and cloud data engineering specialists.

Future Scope of Data Professionals

Cloud Expansion: Increasing cloud adoption is creating demand for Azure Data Factory experts who can design scalable, reliable, and efficient data integration solutions.
Workflow Automation: Businesses use automated data pipelines to reduce manual tasks, improve productivity, and maintain consistent enterprise workflows with Azure Data Factory.
Big Data Solutions: Azure Data Factory professionals can support large-scale data projects by integrating big data platforms, analytics tools, and modern processing environments.
Data Connectivity: Azure Data Factory enables professionals to connect databases, cloud services, applications, and APIs for smooth and reliable data exchange across business systems.
Professional Skills: Continuous Azure developments allow professionals to strengthen technical expertise through practical implementation, advanced services, and industry-focused learning.
Career Advancement: Experienced Azure Data Factory specialists can move into roles such as Cloud Data Architect, Integration Consultant, Data Engineering Manager, and Solutions Architect.

Need customized curriculum?

Hands-on Real-Time Azure Data Factory Projects

Project 1

Enterprise Data Integration

Create Azure Data Factory pipelines to connect databases, business applications, and cloud storage into a unified and scalable enterprise data environment.

Project 2

Automated ETL Workflow

Develop automated ETL pipelines to extract, transform, validate, and load business data into cloud databases for reporting and operational needs.

Project 3

Cloud Data Synchronization

Build scheduled pipelines to synchronize information between local systems and Azure cloud platforms while maintaining data accuracy and consistency.

Project 4

Enterprise Data Transformation

Design Data Factory pipelines to clean, transform, and organize business data for reliable analytics, reporting, and informed decision-making.

Advance Your Career with Azure Data Factory Placement Support

Strengthen your career with practical Azure Data Factory training focused on cloud integration, pipeline automation, workflow creation, and data processing for industry-ready skills.
Get expert career guidance to improve your resume, communication, interview skills, technical presentation, and overall professional confidence for better job opportunities.
Access Azure Data Factory Placement support with resume building, technical assessments, mock interviews, aptitude preparation, and personalized career mentoring.
Gain opportunities through our industry connections with companies such as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, and IBM for potential career placements.
Improve problem-solving and analytical abilities through hands-on projects, practical exercises, and real-time Azure data integration scenarios designed for workplace needs.
Benefit from Azure Data Factory Placement assistance through recruitment support, job updates, interview guidance, hiring opportunities, and continuous career mentoring.

Earn an Industry-Recognized Azure Data Factory Certification

Azure Data Factory certification enables learners to build practical skills in cloud data integration, pipeline development, workflow automation, and scalable ETL solutions. Through hands-on projects and industry-based scenarios, participants gain experience with pipeline orchestration, data transformation, monitoring, scheduling, and cloud connectivity. The Azure Data Factory certification validates their technical knowledge, enhances professional credibility, and supports career opportunities in cloud data engineering and enterprise data management.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

Learn from an Experienced Azure Data Factory Trainer

Learn from experienced Azure professionals through practical sessions, real-time projects, industry insights, and placement guidance designed to build strong cloud data engineering skills.
Azure Data Factory Trainer sessions simplify complex concepts through clear demonstrations, guided lessons, and interactive practice to help learners apply technical knowledge confidently.
Get career-oriented support covering Azure certification preparation, interview techniques, industry expectations, and emerging trends in cloud data engineering and integration.
Gain practical knowledge from trainers experienced in enterprise cloud projects, with guidance on implementing Azure Data Factory solutions across different business environments.
The Trainer covers pipelines, linked services, transformations, scheduling, monitoring, deployment, and performance optimization through structured practical learning.
Top MNC personnel provide placement help, real-time project exposure, industry role expertise, and certified Azure Data Factory Trainer with over seven years of experience.

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

Course Syllabus

100% Placements | Get Hired in Top MNC

Career Support

Placement Assistance

Exclusive access to ACTE Job portal

Mock Interview Preparation

1 on 1 Career Mentoring Sessions

Career Oriented Sessions

Resume & LinkedIn Profile Building

We Offer High-Quality Training at The Lowest Prices.

Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

Call Course Advisor

What Makes ACTE Training Different?

Feature

ACTE Technologies

Other Institutes

Affordable Fees

Competitive Pricing With Flexible Payment Options.

Higher Fees With Limited Payment Options.

Industry Experts

Well Experienced Trainer From a Relevant Field With Practical Training

Theoretical Class With Limited Practical

Updated Syllabus

Updated and Industry-relevant Course Curriculum With Hands-on Learning.

Outdated Curriculum With Limited Practical Training.

Hands-on projects

Real-world Projects With Live Case Studies and Collaboration With Companies.

Basic Projects With Limited Real-world Application.

Certification

Industry-recognized Certifications With Global Validity.

Basic Certifications With Limited Recognition.

Placement Support

Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

Basic Placement Support

Industry Partnerships

Strong Ties With Top Tech Companies for Internships and Placements

No Partnerships, Limited Opportunities

Batch Size

Small Batch Sizes for Personalized Attention.

Large Batch Sizes With Limited Individual Focus.

LMS Features

Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

No LMS Features or Perks.

Training Support

Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

Limited Mentor Support and No After-hours Assistance.

FAQs

Looking for better Discount Price?

Call now: +91-7669 100 251 and know the exciting offers available for you!

Does ACTE provide placement?

ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
More than 3500+ students placed in last year in India & Globally
ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
85% percent placement record
Our Placement Cell support you till you get placed in better MNC
Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions

Is ACTE certification useful?

ACTE certification validates your Azure Data Factory skills and can strengthen your resume for relevant data engineering opportunities.

Are live projects included in the course?

Yes, learners work on practical projects covering pipelines, ETL workflows, data transformation, automation, and cloud integration.

Who conducts the training?

Experienced industry professionals conduct the sessions using practical examples, real-time scenarios, and job-oriented teaching methods.

Can I catch up if I miss a class?

Yes, missed topics can be covered through backup sessions, recorded classes, and supporting course materials.

What learning formats are available?

Training is available through classroom, live online, one-to-one, fast-track, and customized learning formats.

Why choose the Azure Data Factory course at ACTE?

ACTE offers expert guidance, practical projects, industry-focused topics, certification support, and placement assistance for aspiring data professionals.