ADF Training

(4.5)
830 learners

Leverage the growing demand for Certified Azure Data Factory Professionals

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ADF Training

Course Features

100% Money back guarantee
Two Real-time Use cases

Real-time Use cases

24/7 Lifetime Support

24/7 Lifetime Support

Certification Assistance

Certification Based Curriculum

Flexible Schedule

Flexible Schedules

One-on-onedoubtclearing

One-on-one doubt clearing

Careerpathguidance

Career path guidance

Azure Data Factory Course Overview

Azure data factory certification training provided by MindMajix enables us to build the data-driven workflows to orchestrate data transformation and movement at scale. It empowers you with the proficiency to carry out big data engineering on the Microsoft Cloud. Our Azure Data Factory course covers concepts like Azure Data Lake Components, Azure Blob Storage, Data Partition, Azure SQL Database, and Polybase. Enrol in our Azure Data Factory online training to get trained by the best experts.

ADF Training
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Course Coverage

Prepare for a career in ADF

Learn & practice ADF Concepts

Demonstrate your proficiency in use cases & Lab Assignments
Learn & practice ADF Concepts

Course Completion Certificate

Earn an employer-recognized Course Completion certificate by Mindmajix.

Resume & LinkedIn Profile

Build your portfolio with personalized suggestions.

Mock Interview

Experience real-time interviews with Mindmajix SMEs

Qualify for in-demand job titles

Career support

Plan your career move with Mindmajix's job search.

Work Support

Get assistance in completing project tasks once you are employed.
Learn & practice ADF Concepts

ADF Course Content

This Azure Data Factory course curriculum is prepared as per the latest trends in ETL. It empowers you with the expertise to perform every activity of the ETL process. Explore the following Azure Data Factory course modules:
Topic-wise Content Distribution

Module1: Azure Data Lake Storage

  • What is Azure Data Lake Storage
  • Components of Azure Data Lake
  • How does it store the data?
  • Need for Data Lake
  • Azure Data Lake Gen2
  • The architecture of Data Lake

Module2: Data Lakes and Cosmos DB

  • Fundamentals of Data Lakes
  • What is Azure Cosmos DB
  • Need for Azure Cosmos DB
  • What is Azure Blob storage
  • Need for Azure Blob Storage
  • Partitioning
    1. Vertical Partitioning
    2. Horizontal Partitioning
    3. Functional Partitioning
  • Importance of Partitioning the Data
  • Consistency Levels in the Azure Cosmos DB

Module3: Relational Data Stores

  • Relational Data Stores
  • Azure SQL Database
    • Deployment Models
    • Service Tiers
  • Need for SQL Database Elastic Pool

Module4: Need for Azure SQL

  • Security Capabilities of Azure SQL
  • Azure SQL Database and High-Availability
    • Premium Availability Model
    • Standard Availability Model
  • Azure Database for MySQL, PostgreSQL, MariaDB
    • Designing the Azure Database for the MySQL Database through Azure Portal
    • Connecting through MySQL Workbench
    • Designing the Azure Database for the PostgreSQL - Single Server
    • Creating the Azure Database for the MariaDB Server through Azure Portal
  • Polybase
    • What is Polybase
    • Need of Polybase
  • Azure Synapse Analytics(SQL Data Warehouse)
    • SQL Pool and SQL Analytics in the Azure Synapse
    • Important Elements of Big Data
    • Components of SQL Analytics MPP Architecture

Module5: Azure Batch

  • Define Azure Batch
  • Tightly Coupled Workloads
  • Intrinsically Parallel Workloads
  • Further Batch Capabilities
  • Working on the Azure Batch

Module6: Azure Data Factory

  • SSIS vs Azure Data Factory
  • Data Sets
  • Linked Services
  • Parameters vs Variables
  • Pipelines
  • Copying the Data
  • Managing Monitor
  • Deploy and Author
  • Different types of integration runtime
  • Creating Pipelines from the template
  • Configuring Various Integration runtimes
  • Azure Bell Hosted Integration Runtime
  • Azure and SSIS Integration Runtime
  • Copying the Data
  • Appending the Variables
  • Executing the Pipelines
  • Getting the Metadata
  • Executing the SSIS Packages
  • Stored Procedures
  • Lookup
  • Setting the Variables
  • Delete, Wait, and Until
  • For Each
  • Filter
  • If Condition
  • Until
  • Derived Column
  • Lookup
  • Source
  • Conditional Split
  • Alter Row
  • Sink
  • ARM Templates for the Deployment
  • Deploying the Data Factory Pipelines in Test, DEV, and Production Environment
  • Code Repository and Version Control in Git Hub
  • Monitoring and Debugging Pipelines
  • Logging Error and Error Handling Records
  • Shift and Lift SSIS Packages in the Azure Data Factory

Module7: Azure Stream Analytics

  • Working with Stream Analytics
  • Advantages and Capabilities
  • Windowing Functions of Stream Analytics
    • Hopping Window
    • Tumbling Window
    • Sliding Window
    • Session Window

Module8: Azure Data Bricks

  • Define Azure Data Bricks
  • Apache Spark in the Azure Data Bricks
  • Azure Spark-based Analytics Platform

Module9: Monitoring & Security

  • Azure Monitor
    • Logs
    • Metrics
    • Metrics vs Logs
  • What data does Azure Monitor gather?
  • What can you Monitor?
    • Core Solutions and Insights
  • Alerts in Azure
    • Key Attributes of the Alert Rule
    • The flow of the Alerts
    • Managing the Alerts
    • What can you set Alert on?
    • Creating an Alert
    • Alert States
  • Azure Security Auditing & Logging
    • Kinds of Logs in Azure
    • Azure SQL Database Auditing
    • Database Level vs Server-Level Auditing Policy
free

Add-ons

Most of the Azure Data Factory Jobs in the industry expect the following add-on skills. Hence, we offer these skills-set as FREE Courses (Basics) to ease your learning process and help you stay ahead of the competition.

Agile & Scrum

Hands-on ADF Projects

Our ADF Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

  1. Use Case #1: Sales Conversion - MM Retails

  2. Use Case #2: DigiPromo

  3. Use Case #3: Analyse GA Data

logoTraining Options

Choose your own comfortable learning experience.

Best Value

On-Demand Training

30 hrs of Self-Paced Videos

  • 30 hours of ADF Training videos
  • Curated and delivered by industry experts
  • 100% practical-oriented classes
  • Includes resources/materials
  • Latest version curriculum with covered
  • Get one year access to the LMS
  • Learn technology at your own pace
  • 24x7 learner assistance
  • Certification guidance provided
  • Post sales support by our community
self-paced

Get Pricing

Preferred

Live Online (Instructor-Led)

30 hrs of Remote Classes in Zoom/Google meet

2025 Batches

Start - End

Local Time

Weekend

Oct 18 - Nov 02

07:00 PM

Weekdays

Oct 21 - Nov 05

07:00 PM

Weekend

Oct 25 - Nov 09

09:00 AM

Weekdays

Oct 28 - Nov 12

09:00 AM

Customize your schedule here

+ Includes Self-Paced
  • Live demonstration of the industry-ready skills.
  • Virtual instructor-led training (VILT) classes.
  • Real-time projects and certification guidance.
online

For Corporates

Empower your team with new skills to Enhance their performance and productivity.

Corporate Training

  • Customized course curriculum as per your team's specific needs
  • Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
  • Resources such as slides, demos, exercises, and answer keys included
  • Complete guidance on obtaining certification
  • Complete practical demonstration and discussions on industry use cases
Learn MoreContact us

Served 130+ Corporates

Corporate Clients

Azure Data Factory Certification

Passing Azure Data Factory Quizzes & Assessment exams is mandatory to attain the Azure Data Factory Course Completion certificate

  • An Industry-recognized certificate by Mindmajix.
  • Shareable certificate - add to your LinkedIn profile

Shall I appear for ADF certification exam after completion of ADF course?

Our ADF course covers all the topics that are required to clear ADF certification. Trainer will share ADF certification guide, ADF certification sample questions, ADF certification practice questions.
MindMajix certificate
Zoom
User Testimonials
Everyone from start-ups to large enterprises prefer Mindmajix
Saket Sarabu

I am satisfied with the courses available in MindMajix. All the online sessions of Azure Data Factory training were articulate and knowledgeable. The supporting team was prompt and solved my doubts. It’s the best!

Saket Sarabu

Rating: 4.9

  • Saket
  • Rahul
  • Ambica
  • Abhiudaya
  • Vishwas
  • Baswaraj
  • AJ
  • Jenn
  • GopalRathinam

logoOn-Job Support Service

Online Work Support for your on-job roles.

jobservice
@Learner@SME

Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:

  • Pay Per Hour
  • Pay Per Week
  • Monthly
Learn MoreContact us

ADF Training FAQs

What are the Main Objectives of this Azure Data Factory training?

The main objective of this Azure data factory training is to make you develop complex ETL processes that convert data visually with data flows or through compute services. It also teaches you to create linked services and datasets and data factory activities. Through our industry experts, instructor-led training, Simulation learning, well-organized course curriculum, and live training sessions, you will be able to enhance your skills on Azure Data Factory. 

What are the prerequisites to take this Azure Data Factory course?

Individuals who want to take this Azure Data Factory course must have a fundamental understanding of SQL, Data Warehouse, and Business Intelligence.

Who Should Take this Azure Data Factory online training?

Students, Graduates, SQL Developers, and BI Professionals who want to get a high-paying job can take this Azure Data Factory online training.

Why Should You Learn Azure Data Factory?

Azure Data Factory is a cloud ETL service for serverless data transformation and data integration. It provides a customised UI for inherent authoring and single pane-of-glass management and monitoring. We can also shift and lift the available SSIS packages to Azure and execute them with complete compatibility in ADF. Enterprises from different fields like Retail, Compute Services, Healthcare, and Automotive use Azure Data Factory. As per Ziprecruiter.com, the average salary of an Azure Data Factory engineer in the US is around $104K per annum.  

What are the essential skills covered in this Azure Data Factory training?

In this Azure Data Factory training, you will master the following skills:

  • Creating Data Factory Pipelines
  • Handling Integration Runtime
  • Designing the Azure Database
  • Configuring different integration runtimes
  • Copying the Data
  • Managing the Monitor
  • Monitoring and Debugging the Pipelines
  • Executing the Pipelines and SSIS Packages
  • Creating the Alerts

What Job roles are offered to Azure Data Factory professionals?

After completing this Azure Data Factory training, you can achieve the job roles like Azure Data Factory Engineer, Azure Data Factory Developer, Azure Data Factory Expert, and BI Engineer.

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