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Azure Data Factory Training in HSR Layout

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 Best Azure Data Factory Training Institute In HSR Layout To Build Data Engineering Career.
Gain Practical Knowledge Through Hands-On Training And Projects Instead Of Theoretical Learning.
Get Support With Career Guidance And Placement Assistance To Achieve Growth.
Enhance Your Skills Through Industry-Based Projects And Flexible Learning Options.

Job Assistance

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65+ Hrs.

Duration

Online/Offline

Format

LMS

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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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Azure Data Factory Training in HSR Layout for Cloud Data Skills

Azure Data Factory training in HSR Layout helps learners understand cloud-based data orchestration and integration by working with pipelines, triggers, and data flows. The course focuses on building automated data workflows that connect multiple sources and support modern enterprise analytics solutions.
The training provides practical exposure to designing Azure Data Factory pipelines for data extraction and loading operations. Learners work with real-time scenarios involving databases and business intelligence systems to understand how organizations manage and process large volumes of data efficiently.
Participants learn advanced Azure Data Factory concepts including Integration Runtime configuration, scheduling, and workflow automation. Practical demonstrations and project exercises help learners understand how to develop reliable and scalable data integration solutions for enterprise requirements.
The program includes career-focused guidance with resume preparation, technical discussions, and placement assistance. Learners receive support to strengthen their Azure Data Factory expertise and improve their readiness for cloud data engineering opportunities in technology-driven organizations.
Starting from Azure fundamentals, the course progresses into pipeline development, parameter handling, data movement activities, monitoring techniques, and integration with Azure services. Learners gain complete knowledge required to build and manage professional cloud-based data solutions.
Azure Data Factory training in HSR Layout prepares learners for roles such as Azure Data Engineer, Cloud Data Engineer, Data Integration Developer, ETL Developer, and Data Pipeline Specialist. The course emphasizes practical implementation skills required to manage cloud data solutions across different business domains.

Key Skills You Will Learn in Azure Data Factory Course

Understand Azure Data Factory architecture, pipelines, datasets, linked services, triggers, and cloud data integration concepts.

Create and manage ETL workflows for moving, transforming, and processing enterprise data using Azure services.

Learn data flow development, pipeline monitoring, error handling, and performance optimization techniques in Azure.

Gain practical project experience with cloud data solutions and prepare for Azure Data Engineering careers.

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

17 - August - 2026

08:00 AM & 10:00 AM

Weekdays

19 - August - 2026

08:00 AM & 10:00 AM

Weekends

22 - August - 2026

(10:00 AM - 01:30 PM)

Weekends

23 - 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 Training in HSR Layout

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

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

How does Azure Data Factory training in HSR Layout help build cloud data skills?

Azure Data Factory training in HSR Layout helps learners understand cloud data integration, pipeline development, workflow automation, and enterprise data processing. The course provides practical knowledge of building scalable ETL workflows, managing data movement, and implementing cloud-based solutions used in modern data engineering environments.

Who can join Azure Data Factory certification training institute in HSR Layout?

Azure Data Factory certification training in HSR Layout is suitable for freshers, software professionals, database developers, testers, and individuals interested in cloud data engineering. Basic knowledge of SQL, databases, and data concepts can help learners understand the training topics effectively.

Why is Azure Data Factory important for cloud data engineering careers?

Azure Data Factory plays an important role in cloud data engineering by enabling automated data integration, transformation, and pipeline management. As organizations increasingly adopt cloud platforms, professionals with Azure Data Factory skills have strong opportunities in data analytics and engineering domains.

What concepts are covered in Azure Data Factory certification course curriculum?

The course covers Azure Data Factory architecture, pipelines, datasets, linked services, triggers, data flows, integration runtime, monitoring, workflow automation, and cloud data processing techniques required to develop efficient enterprise data solutions.

What practical skills are developed through Azure Data Factory internship training?

The training develops practical skills in:

Creating automated ETL and ELT pipelines using Azure Data Factory
Integrating multiple data sources for enterprise applications
Managing data transformation and workflow orchestration
Monitoring pipeline execution and troubleshooting errors
Working on real-time cloud data engineering projects

How does Azure Data Factory certification support career growth?

Creates opportunities in cloud and data engineering fields
Improves knowledge of Microsoft Azure technologies
Enhances skills required for enterprise data projects
Supports career advancement in analytics roles
Builds industry-relevant cloud computing expertise

Is Azure Data Factory training suitable for beginners?

Yes, beginners can learn Azure Data Factory through structured training that starts with cloud fundamentals and gradually progresses into pipeline creation, data integration, automation, and advanced implementation concepts through practical exercises.

Which Azure technologies are included in this training program?

Azure Data Factory
Azure Data Lake Storage
Azure SQL Database
Azure Synapse Analytics
Power BI
Azure Databricks

What career opportunities are available after completing Azure Data Factory placement training?

After completing Azure Data Factory training in HSR Layout, learners can explore roles such as Azure Data Engineer, Cloud Data Engineer, ETL Developer, Data Integration Specialist, and Azure Consultant in organizations working with cloud-based data platforms.

What makes Azure Data Factory training valuable for future technologies?

Azure Data Factory training provides valuable knowledge for future cloud technologies by helping professionals understand automated data workflows, scalable integration solutions, and modern enterprise data architectures used by global organizations.

Which job roles can learners target after Azure Data Factory placement training?

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

How does Azure Data Factory support enterprise data management?

Azure Data Factory supports enterprise data management by enabling automated data movement, pipeline scheduling, transformation workflows, and integration between multiple systems. It helps organizations manage reliable data processes for analytics and business intelligence solutions.

Overview of Azure Data Factory Training in HSR Layout

The Azure Data Factory training in HSR Layout is designed to help learners understand cloud-based data integration, pipeline development, and automated data workflow management using Microsoft Azure technologies. The course focuses on creating efficient data processing solutions by connecting multiple data sources, transforming raw information, and delivering structured data for analytics and reporting purposes. Azure Data Factory plays a significant role in modern data engineering by enabling organizations to build reliable ETL and ELT workflows across cloud and hybrid environments. This training provides practical knowledge of designing pipelines, configuring datasets, managing linked services, implementing triggers, and monitoring data operations. Through hands-on exercises, real-time projects, and industry-oriented scenarios, learners gain experience in developing scalable data solutions using Azure services. The program covers data movement strategies, workflow automation, integration techniques, error handling, and performance optimization methods followed in professional cloud environments. Participants also learn how to troubleshoot pipeline failures, improve data processing efficiency, and implement best practices for enterprise-level data management. With expert guidance and practical exposure, the Azure Data Factory training in HSR Layout prepares learners for career opportunities in cloud data engineering and modern enterprise data platforms.

Additional Info

Career Roles and Responsibilities After Azure Data Factory Training in HSR Layout

Cloud ETL Engineer: Designs and manages cloud-based ETL workflows, develops data pipelines, monitors processing activities, and ensures efficient data integration across enterprise systems.
Azure Pipeline Developer: Builds automated pipelines, configures data activities, manages workflow execution, and implements integration solutions using Azure Data Factory services.
Data Operations Engineer: Monitors cloud data workflows, troubleshoots pipeline failures, improves operational performance, and ensures smooth execution of data processing tasks.
Cloud Integration Developer: Creates integration solutions between applications, databases, and cloud platforms while maintaining secure and reliable data communication processes.
Data Platform Specialist: Manages cloud data platforms, supports storage solutions, configures workflows, and improves performance of enterprise data processing environments.
Analytics Data Engineer: Develops analytics-ready datasets, supports reporting solutions, processes business data, and enables organizations to gain valuable insights.

Essential Tools and Technologies Covered in Azure Data Factory Training Institute in HSR Layout

Azure Integration Runtime: Enables secure connectivity between cloud and local systems, supporting efficient data movement and execution of integration pipelines.
Azure Blob Storage: Provides scalable cloud storage for managing structured and unstructured data files used in enterprise data processing workflows.
Azure Key Vault: Helps securely store passwords, credentials, and application secrets while supporting safe authentication for cloud data solutions.
Azure Monitor: Supports pipeline tracking, performance analysis, error monitoring, and troubleshooting activities for Azure Data Factory workflows.
Azure Logic Apps: Enables workflow automation by connecting applications, cloud services, and business processes for efficient enterprise operations.
Azure Machine Learning: Provides integration capabilities between data engineering workflows and machine learning solutions for advanced analytics applications.

Key Skills Developed Through Azure Data Factory Certification Course in HSR Layout

Pipeline Development: Learn to design, build, configure, and manage automated data pipelines that support efficient cloud-based data movement and processing across enterprise environments.
Data Integration Skills: Develop expertise in connecting multiple data sources, managing data transfers, and creating reliable integration workflows between cloud and business systems.
Cloud Workflow Management: Gain knowledge of scheduling, monitoring, and optimizing automated workflows using Azure Data Factory activities, triggers, and orchestration features.
Data Transformation: Understand techniques for cleansing, transforming, and preparing raw data into structured formats suitable for analytics and reporting applications.
Performance Optimization: Learn methods to improve pipeline efficiency, reduce processing time, monitor performance, and enhance reliability of Azure data workflows.
Troubleshooting Skills: Develop the ability to identify pipeline errors, analyze workflow failures, and resolve technical issues affecting cloud data processing operations.

Career Growth and Future Scope After Azure Data Factory Internship Training in HSR Layout

Rising Cloud Adoption: Increasing cloud adoption across industries creates strong career opportunities for Azure Data Factory professionals in modern data engineering environments.
Opportunities in Data Engineering: Azure Data Factory skills help professionals move into data engineering roles involving cloud solutions, analytics platforms, and enterprise applications.
Demand for Automation Experts: Organizations seek skilled professionals who can automate data workflows, improve efficiency, and manage large-scale integration processes.
International Project Exposure: Azure Data Factory expertise enables professionals to contribute to global cloud migration, integration, and enterprise data transformation projects.
Leadership Opportunities: Experienced professionals can advance into roles such as Cloud Architect, Data Engineering Lead, Azure Consultant, and Technical Manager.
Continuous Technology Expansion: Regular Azure platform enhancements create opportunities for professionals to upgrade skills and achieve long-term career growth.

Need customized curriculum?

Explore Real-World Azure Data Factory Projects

Project 1

Customer Data Integration Pipeline

Develop an Azure Data Factory pipeline to integrate customer data from multiple sources and load structured information into cloud storage for analytics purposes.

Project 2

Automated Data Migration Solution

Create an automated Azure Data Factory migration workflow to transfer data between databases, migration accuracy, and ensure secure movement across cloud platforms.

Project 3

Sales Analytics Data Pipeline

Build an Azure Data Factory-based data pipeline to collect sales information, process business data, and prepare analytics-ready datasets for reporting and decision-making.

Project 4

Data Warehouse Automation Workflow

Design automated workflows in Azure Data Factory to load data into a warehouse environment, pipeline execution, and maintain efficient enterprise data processing.

Azure Data Factory Placement Support in HSR Layout for Success

Azure Data Factory placement support in HSR Layout helps learners develop cloud data integration, ETL pipeline development, workflow automation, and data processing skills for industry opportunities.
Candidates receive expert career guidance including resume enhancement, interview preparation, technical assessments, and communication training to improve placement success.
The program prepares learners for Azure roles such as Cloud Data Engineer, Data Integration Developer, ETL Developer, and Azure Data Specialist through practical training.
Placement assistance includes career counseling, mock interviews, aptitude preparation, and personalized support to help candidates confidently face technical recruitment processes.
Real-time projects and industry scenarios provide practical exposure to Azure Data Factory workflows, data pipelines, cloud integration, and enterprise data management solutions.
Azure Data Factory placement support in HSR Layout connects learners with companies like TCS, Infosys, Wipro, HCL, Accenture, IBM, and Cognizant for cloud data engineering opportunities.
Continuous placement guidance, recruiter coordination, and skill improvement sessions help learners stay prepared for evolving cloud technology careers and job requirements.

Achieve Azure Data Factory Certification for Career Advancement

Azure Data Factory certification in HSR Layout helps professionals validate their expertise in cloud data integration, ETL pipeline development, data orchestration, and Azure-based workflow management. The certification demonstrates practical knowledge of designing scalable data solutions using Azure services and modern data engineering practices. After completing structured training, practical assignments, and real-time projects, learners gain the confidence to manage enterprise data processing challenges effectively. This Azure Data Factory certification enhances career opportunities, strengthens technical credibility, and supports professional growth in cloud data engineering, analytics, and Azure solution development roles.

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 Experienced Azure Data Factory Trainers in HSR Layout

Gain practical knowledge from Azure Data Factory trainers in HSR Layout who bring real-world experience in cloud integration, ETL automation, pipeline development, and data engineering solutions.
Learn Azure Data Factory concepts through practical demonstrations, project-based exercises, and real business scenarios that help learners understand modern cloud data processing techniques.
Industry mentors provide career-focused guidance including certification support, technical interview preparation, and skill improvement strategies for cloud data engineering roles.
The course delivers complete knowledge of Azure Data Factory features including pipeline design, data transformation, workflow automation, monitoring, and performance optimization practices.
Hands-on projects and practical assignments allow learners to experience real enterprise data challenges while developing analytical thinking and effective problem-solving abilities.
Experienced Azure Data Factory trainers in HSR Layout share industry insights, implementation techniques, and project guidance to prepare learners for competitive cloud technology careers.
Through interactive learning, personalized mentoring, and practical lab sessions, participants develop confidence in building scalable Azure Data Factory solutions for business requirements.

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.

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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

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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 and 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 good?

ACTE certification helps validate your technical knowledge and practical skills in IT domains, supporting better career opportunities. Its value may vary based on employer requirements, industry standards, and how relevant the certification is to Azure Data Factory and data engineering roles.

Work on live projects?

Yes, the training includes real-time projects that provide hands-on experience in data integration, ETL pipeline development, data transformation, and workflow orchestration using Azure Data Factory, helping learners build strong practical skills and job readiness.

Who are the trainers?

ACTE trainers are experienced industry professionals with 10–12 years of IT expertise. They are subject matter experts who deliver practical, job-oriented training in Azure Data Factory and modern data engineering technologies with real-world project exposure.

What if I miss one or more class?

If you miss a class, you can access recorded sessions or attend backup classes arranged by trainers. Study materials are also provided to help you revise topics and easily catch up without affecting your overall learning progress.

What are the modes of training offered for the Azure Data Factory course?

The Azure Data Factory course is offered in multiple flexible learning modes, including classroom training, online instructor-led sessions, one-to-one coaching, fast-track batches, and customized programs designed to match individual learning needs and schedules.

Why should I learn the Azure Data Factory certification course at ACTE?

Choosing ACTE for Azure Data Factory training provides structured learning, expert trainers, real-time project exposure, and placement assistance. The program is designed to build strong practical skills aligned with current industry requirements and career opportunities.

Can I access the course material online?

Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.

What certification will I receive after course completion?

After completing the ACTE Azure Data Factory training, learners receive an industry-oriented course completion certificate that validates their knowledge in data integration, ETL pipelines, cloud workflows, and orchestration, along with project experience and placement assistance support.

Will I be given sufficient practical training in Azure Data Factory?

Yes, the Azure Data Factory course includes extensive hands-on training through real-time projects, guided exercises, and practical scenarios focused on building ETL pipelines, designing data workflows, and implementing cloud integration solutions with interview preparation support.

What is the eligibility to join Azure Data Factory training at ACTE?

Anyone with basic knowledge of programming, databases, or cloud computing concepts can join this Azure Data Factory training. Both fresh graduates and working professionals are eligible to enroll and build skills in cloud data engineering.

How do I access the pre-recorded lessons for this course?

Once you enroll and complete registration, you will get access to recorded video sessions through the learning platform, allowing you to revisit lessons anytime and learn at your own convenient pace for better understanding and revision.

How do I enroll for the Azure Data Factory course at ACTE?

You can enroll for the Azure Data Factory course by reaching out to the ACTE admission team or visiting any ACTE branch directly. Our team will assist you with registration, course information, batch availability, and enrollment steps.