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Azure Data Factory Training For DP-200 AND DP-201

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Live Instructor LED Online Training

Learn from Certified Experts

  • Classes for Trainees and Advanced Students.
  • In Azure Data Factory Training, You’ll Get Hands-on Experience.
  • In Azure Data Factory Training, Best Practices for Interview Preparation Techniques are Discussed.
  • The Student Portal, Study Materials, Videos, and Top MNC Interview Questions for the Rest of Your Life.
  • Expertly Designed Program at an Affordable Price.
  • Delivered by an Azure Data Factory Training Certified Expert with more than 12 years of Experience.
  • 13492+ Learners Trained & 370+ Clients Recruited.
  • Next Azure Data Factory Training Batch to Begin this week – Enroll Your Name Now!

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$ 18000

$ 14000


$ 20000

$ 16000

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Upcoming Batches

27- Mar - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

29- Mar - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

25- Mar - 2023

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

25- Mar - 2023

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Online Courses by Certified Experts

Receive Our Resourceful Azure Data Factory Training Course

  • Any newcomer interested in a career in Microsoft Azure Data Analytics can enrol in the Azure Data Analytics training. A working knowledge of Azure and SQL is required of the subscriber.
  • Azure Data Factory Online Training for DP-200 is aimed to provide participants with the necessary abilities to conduct Big Data Engineering on Microsoft Cloud Services.
  • The programme will contain high-value real-world projects that will allow participants to demonstrate their abilities and gain experience with Azure Data Solution implementation.
  • Participants in the Azure Data Factory Organic Training for the DP-200 can select between instructor-led online classroom training and offline classroom training.
  • Participants should have relevant work experience with Azure Data Lake, Azure SQL Data Warehouse, Azure Stream Analytics, and Azure Data Factory before attending the session.
  • Working on real-world projects and passing quizzes, assignments, and tests will be needed of participants to complete the training. The quizzes will help participants improve their certification exam scores.
  • Concepts: Introduction to Schema, Changing Datatypes Of Elements In Schema, Validating Maps (Schema), Debugging & Exceptions, Flat Files, Power shell Scripting.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

Azure data factory is the cloud-based ETL and data integration service that allows you to create data-driven workflows for data movement and transforming data at scale. Using Azure Data Factory, you can create and schedule data-driven workflows that are pipelines that can ingest data from disparate data stores. This has a great scope in the future to develop your skill growth.
ACTE Azure Data Factory Online Course gives you acknowledge from basic database concepts up to how to handle big data sets for implementing and designing Azure data solutions, enabling you to design and perform data management, monitoring, security, and privacy using the complete Azure data services stack.
  • Implement Azure Data Solution .
  • Implementing a data storage solution.
  • Managing and developing data processing.
  • Monitoring and optimizing data solutions.
To get placed as an Azure data analyst or related role you should be strong with all the technologies related to azure. It would be an advantage if you have relevant work experience in Data Engineering issues with Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics should be needed to sign up for this Azure Data Engineer certification training.
Azure Data Factory Online Course is a cloud-managed service that is used to copy the data between different relational and non-relational data sources, hosted in the cloud or locally in your data centers and transforming it to meet the business requirements. It is a big data service that is responsible for the cloud-based Extract, Transform and Load data ingestion processes using scheduled data-driven workflows.
Azure data engineer enables companies to convert all their big data from storage systems, relational & non-relational databases into data-driven workflows. This helps them put up concrete strategies, accomplish goals, and improve the market value of the data they own. For this, they require certified professionals.
In this online azure data factory training, you will be trained on how to deal with,
  • Understand Azure Data Factory
  • Describe data integration patterns
  • Explain the data factory process
  • Understand Azure Data Factory components
  • Azure Data Factory security
  • Set up Azure Data Factory
  • Create linked services
  • Create datasets
  • Create data factory activities and pipelines
  • Manage integration runtime

Will ACTE provides placement support for Azure data factory training?

ACTE will provide and guide you with the placement during this Azure Data Factory Online Course. We had placed many students with excellent skillset with the average salary for a newbie in this position is about US$85,000, and in India, it is around ₹700,000. In addition, experienced candidates with recognized DP-203 certification can earn up to US$120,000 in the United States and up to ₹1,500,000 in India.

What are the essentials for learning the Azure data factory course?

  • Basics of Azure cloud platform.
  • Understanding of cloud models.
  • Ability to move around various azure service's in azure console.
  • Understanding of operating systems and basic network models.
  • Client-server architectures.

How about the roles an Azure data analyst can get hired in?

  • Azure data factory developer
  • Azure data engineer
  • Azure data lead
  • Data engineer
  • Data warehouse lead

How about the responsibility of an Azure data factory analyst?

  • Reviewing the features, concepts, and requirements that are necessary for designing data flows.
  • Learn the basic principles of data flows and common data flow scenarios.
  • Understand how to implement data flows within Microsoft Azure.
  • Dealing with Azure SQL Databases, Azure Data lake, Azure Data bricks, Azure Data Factory, Azure Monitoring services, and Azure HD Insights.

How equipped are Azure data factory faculties at training in ACTE?

  • The emphasis of all our training is on the functional model rather than theoretical.
  • The experience and preparation of all our trainers help us provide project-based education.
  • We deliver hands-on training that will help you develop and manage your project, incorporating quality performance and evaluation at the end of your training program.
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Overview of Azure Data Factory Training

The training will provide you the ability to do big data engineering on Microsoft Cloud services. This training program is provided by Azure Data Factory. You will discover how Power BI is connected and how a data factory is used. This also includes case- and project work for the industry in real-time, which will provide practical knowledge of data factory and data lake use and will be used in applicable software processes. Learn from the greatest specialists certified by Microsoft Data Factory Azure. This Azure Data Factory Course is how to increase the ability of the trainers to work with Microsoft Azure SQL Data Warehouse, Azure Data Lake Analytics, and Azure Data Factory, and copy the Hive and Spark data. There would also be projects in the actual world. The students will thereby learn how to develop Azure data solutions, data processing, and data security.

Additional Info

Who should attend For Azure Data Factory Course?

  • Who would like to begin an IT career or database developers in Azure Data Factory Platform
  • Developers from ETL
  • BI Developers Data Analyst
  • All students wishing to learn Factory of Azure Data
  • Any student that wishes to implement various data solutions
  • Every student who wants to study Azure Data Factory Batch Processing System
  • Every student wishing to study azure synapse
  • Why ACTE Trainings for Azure Data Factory Training?
  • Class 'A' Competent Infrastructure Echtzeit and trainers certified
  • Latest course materials Official Curriculum
  • Small batch size for personal care
  • Fully real-time and practical meetings
  • Live real-time workout projects
  • 24×7 Support for guidance
  • Support for real-time work
  • Full and up-to-date material about the subject.
  • Free Stock

Highlights of Azure Data Factory Online Training :-

  • We also offer case studies of ADF training.
  • We schedule courses in real-time by skilled and qualified experts according to your comfort.
  • We offer recorded sessions for future reference.
  • We also give regular, fastrac courses for on-line ADF training
  • We offer also professional training
  • In addition to the ADF solution we provide a comprehensive and comprehensive training session.
  • Get ADF workouts at AB workouts in Hyderabad.

What will I learn in this Azure Data Factory Data Engineer Certification?

This course prepares you for DP-203 examinations for the implementation and development of Azure data solutions, which enable you with the entire Azure data service pad to build and manage data, monitoring, security, and privacy. In the following list of topics you will learn :

  • Azure Data Solution Implement (DP 203)
  • Implementing a solution for data storage
  • Data processing management and development
  • Data solutions monitoring and optimization

These kinds of projects are included as part of the training :

As part of the training program, ACTE offers you the most up-to-date, relevant, and valuable real-world projects. In this method, you can realize the learning you have gained in the real world. All training includes several projects, which comprehensively test your skills, learning, and practical experience to make you fully industry-friendly.

You will work on very fascinating high-tech projects, e-commerce projects, marketing, sales projects, networking projects, banking, insurance, etc. Your talents are equal to 6 months of tough industry experience after your projects are successfully concluded.

In this course, you are going to learn :

  • Free Azure Subscriptions Creating.
  • Why do we need the factory of azure data?
  • What are the Azure Data Factory's key components?
  • How to build instances for Azure Data Factory,
  • Azure SQL databases creation
  • Creating tables Use SQL management studio in Azure SQL databases to insert data into your tables.
  • How to build an Azure portal for a Blob Storage Account
  • Creating instances for the Azure Data Factory.
  • In the Azure Data facility, how to construct linked services.
  • How to generate Azure Data Factory data set.
  • Inside the Azure Data Factory, master many types of activities.
  • Custom Email Notifications for Azure Data Factory.
  • Learn to use data flux mapping to change your data.

Five Benefits of Azure Data Factory :

1. Fully managed Azure service :

A major difficulty is the complexity of deployment with typical ETL/ELT technologies. Organizations require skilled teams to set up, manage and maintain data integration environments properly. These specialists could be third parties internally or externally; it's a costly proposition either way.

As part of the Azure platform, the Azure Data Factory is wholly run by Microsoft. Microsoft controls data movements through the Azure Integration Runtime (IR), manages the Spark clusters for the Mapping Data Flow, updates ADF developer tools and APIs constantly as well as monitor the platform 24/7 in over 25 regions to ensure maximum performance.

2. Code-free and low-code transformations :

This stands for transformation as "T" in ETL and ELT. The most problematic part of the data integration process is often transformation. In this step, many companies have developed proprietary scripts. The scripts can be written in SQL, Python, C#, and many other industry Standard and proprietary languages, or in data-centered variations of general programming. Irrespective of the language selected, maintaining the complexity and introducing flaws is the challenge with all code-based systems.

The first is related to the need for developers to know the language closely in order to transform effectively. There must be significant training for new developers. Each developer with a unique coding style, a different style must be adjusted or a style that the company can try to standardize via coding rules complicates the onboarding process further.

3. Combination of GUI and scripting-based interfaces :

The other major difficulty of ETL/ELT systems for companies is to lock their users in specific tools which are often highly proprietary. These tools were usually either UI or scripting-based and the user could not transition from one to another during the DevOps life cycle. In addition, the UI tools often are provided in the form of platform-native applications (e.g. Windows, Linux, Mac OS, etc).

ADF adopted a different strategy from the Microsoft team. The development environment for HTML5 has created the standard. A modern web browser is required exclusively for this environment. However, a standard platform-oriented GUI application retains its look and feel. For instance, you can drag and drop activities and organize them in a pipeline for data integration. The interface has been designed so successfully that developers often forget that they interact with a Web browser.

4. Easy migration from SSIS :

The 2005 introduction of SQL Server Integration Services (SSIS) into the SQL Server stack. Over the years, technology has become extremely popular. Organizations have invested millions in SSIS data integration tools for their specific needs.

icrosoft took this into consideration and provided a mechanism of transferring SSIS packages into ADF, whilst taking full advantage of the Service paradigm of Azure and ADF Platform. In other words, you don't have to establish a SQL Server VM with ADF and manage it only to run SSIS. The best of all worlds is the use of Azure-SSIS IR: a fully controlled runtime environment on Azure, plus capacity for.

5. Consumption-based pricing :

Historically, the ETL/ELT tools have hefty license charges. Usually, these charges had to be paid in advance. This may have been good for a great multi-year effort, totally foreseeable. The fact now is that changes are often unpredictable, and businesses have to adjust quickly, agilely, perform short POCs, fail quickly, and so on.

The company and IT objectives are not compatible with significant initial license acquisitions. With conventional licensing approaches, the other cost-related difficulty is that companies are nearly always either over-supplied or under-supplied. With over-supply, they pay too much for licenses only if – e.g. to deal with job load surges. If not supplied, they would save money, but perform slowly at workload peaks.

Trainer Profile of Azure Data Factory Training :

Our trainers provide the students entire freedom to investigate the subject and learn from examples in real-time. Our trainers assist candidates in their project completion and even prepare questions and answers for interviews. At any point, candidates may ask any queries.

  • More than seven and more years of experience.
  • Over 2000+ students in one year were trained.
  • Strong knowledge of theoretics and practice.
  • Certified high-grade professionals.
  • Well connected to multinationals' recruitment HRs.
  • Subject knowledge of experts and up-to-date applications in the real world.
  • Trainers have experience in their industries with multiple real-time projects.
  • Our trainers work in multinationals such as CTS, TCS, HCL, Scope, Philips, IBM, ZOHO, Birlasoft, IBM, and Microsoft.

Roles & Responsibilities :

  • Understand business needs and give data input actively
  • Understand the basic data and data flow
  • Create pipelines and dataflows that are simple to complicate
  • Work with Azure stack modules such as Azure Data Lakes, SQL DW, and so on.
  • Should be able to implement security and permit frameworks modules
  • Recognize and adapt to process changes as the project develops in size and function

Expertise, knowledge, and Required Skills :

  • Azure Data Factory expert knowledge.
  • SQL DB & Datawarehouse expert knowledge Should be able to analyze and grasp complex information if you know at least one language
  • Azure data lake knowledge is necessary
  • Connaissance of other Azure services, like Analysis, is an additional advantage of SQL databases.
  • Excellent ability to communicate (both realized and written) with clarity and precision at different levels.

Salary Perspective :

In India, the average compensation for developers is 145K daily or 744 daily per hour. Entry levels begin at 105K per year, with most skilled employees reaching 200K per year.

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Key Features

ACTE offers Azure Data Factory Couse Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

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 and National Institute of Education (nie) Singapore.


Syllabus of Azure Data Factory Training For DP-200 AND DP-201 Training
Module 1: Azure Data Factory, Synapse Intro
  • Azure Data Factory (ADF) Operations
  • Hybrid Data Ingestion, Orchestration
  • Data Processing & Movement in ADF
  • Data Pipelines, Flows & Wrangling
  • Data Mashup and ETL in Azure
  • Azure Synapse (Data Warehouse)
  • Enterprise Warehouse with Synapse
  • Azure Synapse (SQL Pools) Creation
  • DWUs: Data Warehouse Units Usage
  • Big Data Storage and Data Analytics
  • Column Store Data in Azure Synapse
  • Automated Tuning and Security
  • Access, Pause/Resume with Synapse
  • SSMS & ADS Tools Connections
Module 2: Azure Synapse Architecture
  • MPP - Massively Parallel Processsing
  • Control Node and Compute Nodes
  • Azure Storage, DMS and DWUs
  • Round Robin, Replicate, Hash Tables
  • Service Level Objective, Sharding
  • Resource Classes; Gen 1 and Gen 2;
  • Table Creation, Storage, Distribution
  • CTAS: Create Table As Select. Indexes
  • Distribution Types, Time Partitions
  • Logins and Users in SQL Server
  • Users and Roles in Synapse SQL DW
  • Resource Classes; Blob Data Import
  • COPY INTO Statement in T-SQL
  • Data Monitoring Scripts with T-SQL
Module 3: Azure Data Factory Architecture
  • ADF Pipeline Design, Publish, Trigger
  • ADF Architecture, Pipelines & ETL
  • DIU : Data Integration Units; Concurrency
  • Linked Service, Dataset & Activities
  • Staging Data - Advantages and Pricing
  • Polybase Indexes, Compression Options
  • Mapping Data Flow, Wrangling Data Flow
  • Pipeline Creation using Copy Data Tool
  • Azure BLOB Storage to Synapse DB
  • Linked Service and Datasets. Mapping
  • Polybase; Staging, Bulk Import Options
  • Validate, Publish Pipelines to ADF Store
  • Pipeline Execution (Triggers), Monitoring
  • Auto Resolving Integration Runtime (IR)
Module 4: Azure Data Lake with ADF
  • Creating Azure Data Lake Storage
  • Data Lake Gen 2 Hierarchial Namespace
  • Excel Upload to Container, Data Preview
  • Pipeline Parameters, Variables, OUT
  • Copy Data Tool: Timeout and Schedule
  • Secured Pipelines and Linked Services
  • Sink Options; Colum Mapping, Triggers
  • Azure SQL Database Loads to Synapse
  • Azure SQL Database Tables Data Loads
  • For Each Loops with ADF Pipelines
  • Copy Data Tool, Pipeline Edits in ADF
  • Task Schedules and Tumbling Window
  • Pipeline Execution & Runs; Monitor
Module 5: On-Premise Data to Azure
  • On-Premise Data Sources with Azure
  • Install Self Hosted Integration Runtime
  • Access Keys & Use. Configuration Tools
  • Remote Linked Services in ADF & SH IR
  • Authentication with Integration Runtime
  • Sourc, Sink Linked Service Connections
  • Incompatable Rows Skip, Fault Tolerance
  • Table Mapping, Column Mapping, Errors
  • Synapse Pool Connection with Onpremise
  • Staged Data Copy & ETL Performance
  • Azure Blob for Staging. Polybase
  • Connections Management - Preview
  • Pipeline Exectution, Run IDs, Errors
Module 6: Incremental Loads with ADF - 1
  • ADF Pipelines with Stored Procedures
  • Watermark Tables and Timestamp Columns
  • Incremental Data Loads to Azure DW
  • New Rows and Old Rows Indentifications
  • Storing High Water Mark Data
  • Stored Procedures for Timestamp Updates
  • Azure Storage Container Incremental Loads
  • Lookup in ADF Portal & ModifiedDate
  • Expressions in ADF Portal for Lookup
  • Expressions in ADF Portal for Source
  • @activity with output Data Pipelines
  • SQL Queries for Dataset Creation
  • Concat Function, Run IDs For File Names
  • ADF Pipeline Validation and Triggers
Module 7: Incremental Loads with ADF - 2
  • Incremental Load Pipeline Design in ADF
  • Working with Azure Storage Containers
  • Pipeline Executions, Incremental Schedules
  • Regular Schedules & Tumbiling Windows
  • Binay Copy, Last Modified Date in Blob
  • Pipeline Trigger Schedules, Modifications
  • Incompatable Rows Skips, Fault Tolerance
  • Incremental Loads with Mutliple Tables
  • Stored Procedures, Loops in ADF Pipelines
  • Configure ETL Sources, Pre-Copy Scripts
  • Using @{item() with Dyanamic Connections
  • Table_Schema for Column Mapping
  • Writing Expressions For Dynamic Loads
  • Staging and Performance for ADF Loads
Module 8: Mapping Data Flow in ADF
  • Data Flow Task Creation in ADF Pipelines
  • Transformation Editor and Parameters
  • Comparing ADF Pipelines and Data Flow
  • Debugging: ADF Managed Executions
  • Apache Spark Clusters @ ADF Debugging
  • Authoring Data Flow, Graph, Configuration
  • Transformation Setting, Optimize, Inspect
  • Conditional Split Transformation in ADF
  • Pivot Transformation in Mapping Data Flow
  • Pivot Column & Aggregation Functions
  • Pivot Transformation, Pivot Settings
  • Pivot Key Value, Enabling Null Values
  • Pivoted Columns, Pattern, Optimize
  • Column Prefix, Help Graphic, Metadata
Module 9: Wrangling Data Flow in ADF
  • Wrangling Data Flow in ADF : Advantages
  • Power Query Online Editor for Mashup
  • Spark Code for Cloud Scale Executions
  • Wrangling Data For Less Formal Analytics
  • Sources and Sinks with Wrangling DF
  • Github Integration with ADF Repository
  • User Defined Data Stores in GitHub
  • Transformations in Data Wrangling
  • Group By, Aggregate, Reordering
  • Pivot, Aggregations in Power Query
  • ADF Data Types & ADF Pipeline Store
  • Heterogenous Sources in Power Query
  • ADF Publish, GitHub Store Differences
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Need customized curriculum?

Get Hands-on Knowledge about Real-Time Azure Data Factory Projects

Project 1
Fully managed Azure Project

Azure Data Factory is absolutely controlled with the aid of using Microsoft as a part of its Azure platform. Microsoft looks after the Azure Integration Runtime (IR) that handles information movement.

Project 2
Combination of GUI and scripting -based interfaces

These surroundings wish most effective a modern net browser to access. Yet it keeps the look-and-sense of a conventional platform-local GUI application.

Project 3
Code-free and low-code transformations

Azure Data Factory has inner transformation technology that may be used to create alterations without a Single line of code.

Project 4
Easy migration Project

Organizations have invested thousands of greenbacks into growing SSIS information integration applications for particular requirements.

Our Esteemed Partner for Placements

ACTE offers additional placement opportunities for all students/professionals who have completed classroom or online training. Here are some of the students who work for these companies.
  • We work with large organizations such as Encora Inc., Best Infosystems Ltd., Mindtree, Confidential Company Name, Google, CTS, TCS, and IBM.
  • Having a customized student portal for the distribution allows students to be placed in the best multinationals in the world. All interview times will be retrieved and notified by e-mail.
  • After completing 70% of the content in the Azure Data Factory training program, students prepare for telephone interviews and F2F interactions.
  • Our enthusiastic and skilled ACTE placement cell is well-known for scheduling interviews with the best IT companies.
  • In terms of mutual contacts, information and idea exchange, arranging visits and technical talks from industry experts, and so on, we effectively carry out institute-industry interaction.
  • We keep candidate profiles up to date with client companies and keep vacancies up to date with our students.

Get Certified By Azure Data Factory Training & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

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.

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About Efficient Azure Data Factory Training Instructors

  • Our Azure Data Factory Training advisors are certified professionals with over 9+ years of experience in their respective fields and they are currently working with leading multinational companies.
  • Since all instructors are professionals working in Azure Data Factory training, they have a variety of live projects that trainers will use during training sessions.
  • All of our instructors work with companies like Encora Inc., Best Infosystems Ltd., Mindtree, Confidential Company Name, TCS, HCL Technologies, etc.
  • Trainers also help candidates enter their respective companies through an internal employee recommendation/recruitment process.
  • Our instructors are industry experts and subject matter experts who are proficient in running applications to provide the Best Azure Data Factory Training for students.
  • We have received several prestigious Azure Data Factory Training awards from recognized IT organizations.

Azure Data Factory Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



I underwent Azure Data Factory Training training in ACTE, Porur. The training session was good. My tutor Mr.Anbu have been outstanding. I liked the sessions taught by him who is an experienced faculty. Each and every topic is explained very clearly. Materials provided by him were useful. He is really good with his training and has the best content with him for the training which is really useful for a fresher like me to learn.

Dinesh Karthik


Good Institute for getting your basics right in any course, Thanks to Prabhu sir for training me for Azure Data Factory Training has around 10+ years of experience in Azure Data Factory Training and covers all the real time scenario's in the classes



I have enrolled for Azure Data Factory Training course in ACTE, Chennai It is a very nice experience. Trainer is very good and talented. All the concepts are thoroughly explained by the time you don't understand. Facilities are good. There is the provision of paying fees in instalment. Hence overall it's nice to choose



It was a great learning experience in ACTE, Banglore. The entire course structure designed for its students, the teaching methodology, as well as placement assistance, is really good. ACTE helped me a lot to get my first job. Had a wonderful opportunity to learn under the guidance of dedicated faculty team headed and gain knowledge in the field of Azure Data Factory Training . I would recommend ACTE to people who are interested to learn Azure Data Factory Training .



Very motivational environment. Best way to teach. Really appreciate the efforts they put from there side to increase the knowledge and development of students. Thanks, ACTE

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Azure Data Factory Training Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • 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
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Azure Data Factory Training training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Azure Data Factory Training Course At ACTE?

  • Azure Data Factory Training Course in ACTE is designed & conducted by Azure Data Factory Training experts with 10+ years of experience in the Azure Data Factory Training domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Azure Data Factory Training batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Azure Data Factory Training . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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