Corporate Azure Data Factory Training Course

Name: Azure Data Factory Training
Availability: InStock

Edstellar’s instructor-led Azure Data Factory training course equips professionals with advanced skills in data integration and transformation using Azure services. Combining ETL, pipeline design, and cloud computing, this course optimizes data management for business success, upskilling professionals in cutting-edge techniques.

Duration

24 - 32 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Azure Data Factory Corporate Training

Azure Data Factory is a cloud-based data integration service by Microsoft Azure, enabling organizations to create, schedule, and manage data pipelines for seamless data movement and transformation across various sources and destinations. Azure Data Factory is essential for organizations to streamline data integration processes, ensuring efficient data movement, transformation, and orchestration, ultimately enhancing decision-making, operational efficiency, and data-driven insights. Training in Azure Data Factory provides professionals with the expertise to leverage its capabilities, including ETL, pipeline design, and integration with Azure services, enabling them to optimize data management and drive business success in the cloud

Edstellar's Azure Data Factory Instructor-led training stands out with its unique approach. Whether conducted onsite or virtually, the course offers a tailored learning experience, ensuring professionals gain practical insights into designing, scheduling, and managing data pipelines. The customization options and hands-on exercises provide a distinctive edge, enabling professionals to apply their knowledge effectively in real-world scenarios. Edstellar prioritizes delivering comprehensive, interactive, and impactful Azure Data Factory training

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Data Integration Techniques
Data Integration Techniques involve combining data from different sources to provide a unified view. This skill is important for data analysts and engineers to ensure accurate insights and decision-making.
Data Orchestration
Data Orchestration is the automated process of managing and coordinating data workflows across various systems. This skill is important for data engineers and analysts to ensure seamless data integration, accuracy, and accessibility, enabling informed decision-making.
Automation of Data Workflows
Automation of Data Workflows involves using technology to streamline data processes, reducing manual effort. This skill is important for data analysts and engineers to enhance efficiency, accuracy, and scalability in data management.
Monitoring and Managing Pipelines
Monitoring And Managing Pipelines involves overseeing data flow and processes in systems. This skill is important for roles in data engineering and DevOps, ensuring efficiency and reliability.
Security and Compliance
Security and Compliance involves ensuring that an organization adheres to laws and regulations while protecting data. This skill is important for roles in IT, risk management, and auditing, as it safeguards assets and builds trust.

What Your Team Will Achieve After This Training

Implement efficient ETL workflows, enhancing data processing speed and accuracy for improved organizational efficiency
Develop robust data pipelines, orchestrating seamless data integration and transformation processes using Azure Data Factory
Optimize resource utilization by leveraging Azure Data Factory's scalable and flexible architecture for handling diverse data sources
Mitigate data-related challenges by applying practical insights gained during the training, leading to improved data quality and reliability
Enhance data-driven decision-making by mastering the Extraction, Transformation, and Loading (ETL) capabilities of Azure Data Factory
Utilize Azure Data Factory to automate complex data tasks, reducing manual interventions and streamlining data management operations
Foster a collaborative data environment where teams can collaborate effectively in designing, scheduling, and managing data pipelines within Azure Data Factory

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Azure Data Lake Storage

Azure Data Lake Storage introduction
- Explanation of Azure Data Lake Storage
- Benefits and applications
Components of Azure Data Lake
- Storage layers
- Integration with other Azure services
Data Storage method
- Data storage architecture
- Data lake versus traditional data storage
Necessity of Data Lakes
- Use cases for data lakes
- Comparison with data warehouses
Azure Data Lake Generation 2
- Features of Gen2
- Improvements over previous versions
Architecture overview
- Detailed architecture
- Scalability and security features

Data Lakes and Cosmos DB

Data Lakes basics
- Definition and importance of data lakes
- Key characteristics of data lakes
Introduction to Azure Cosmos DB
- Overview of Cosmos DB
- Key features and benefits
The need for Azure Cosmos DB
- Use cases and scenarios for Cosmos DB
- Performance and scalability advantages
Understanding Azure Blob Storage
- Fundamentals of Blob Storage
- Types of blobs and use cases
The Importance of Blob Storage
- Strategic benefits of using Blob Storage
- Integration with Azure services
Data partitioning
- Principles of partitioning
- Best practices in data partitioning
Significance of data partitioning
- Improving performance through partitioning
- Examples of effective partitioning strategies
Consistency in Azure Cosmos DB
- Consistency models in Cosmos DB
- Choosing the right consistency level

Relational Data Stores

Overview of relational data stores
- Definition and core concepts
- Comparison with non-relational data stores
Azure SQL database essentials
- Key features of Azure SQL Database
- Deployment options and models
Elasticity in SQL databases
- Concept of SQL Database Elastic Pool
- Benefits and use cases

Azure SQL

Requirements for Azure SQL
- Business and technical requirements
- Compliance and security considerations
Security features
- Security tools and features in Azure SQL
- Best practices for securing Azure SQL Database
High-Availability in Azure SQL database
- Strategies for achieving high availability
- Role of Azure in disaster recovery
Diverse Azure database options
- Overview of database options (MySQL, PostgreSQL, MariaDB)
- Use cases for each database type
Utilizing polybase
- Introduction to Polybase
- Use cases and integration with Hadoop
Azure synapse analytics
- Features of Azure Synapse Analytics
- Integration with other Azure services

Azure Batch

Definition and use
- What is Azure Batch?
- Overview of features and capabilities
Workload categories
- Types of workloads suitable for Azure Batch
- Differences between tightly coupled and intrinsically parallel workloads
Batch capabilities
- Advanced capabilities of Azure Batch
- Customization and flexibility in processing
Batch operations
- Step-by-step process of setting up and running a batch job
- Monitoring and managing batch jobs

Azure Data Factory

Comparison of SSIS and ADF
- Differences between SSIS and Azure Data Factory
- When to use SSIS vs. ADF
Understanding data sets
- Types of data sets in Azure Data Factory
- Usage scenarios for different data sets
Utilizing linked services
- What are linked services?
- Configuring linked services for data integration
Parameters and variables
- Differences between parameters and variables
- How to use them in data factory pipelines
Pipeline management
- Creating and managing pipelines
- Tips for efficient data copying and pipeline monitoring
Pipeline deployment
- Deployment strategies for data factory pipelines
- Testing and validation in different environments
Integration runtime configurations
- Types of integration runtimes
- Configuring and optimizing for different scenarios
Azure integration runtimes
- Specifics of Azure-hosted and SSIS integration runtimes
- Best practices for integration runtime management
Pipeline operations
- Detailed steps for pipeline execution
- Handling errors and managing pipeline performance

Azure Stream Analytics

Working with stream analytics
- Introduction to stream analytics
- Setting up and configuring stream analytics jobs
Advantages and capabilities
- Key features and benefits of using Stream Analytics
- Real-time analytics and event processing
Windowing functions of stream analytics
- Types of windowing functions available
- Application examples and best practices

Azure Data Bricks

Define Azure Data Bricks
- What is Azure Databricks?
- Core components and architecture
Apache Spark in the Azure Data Bricks
- Role of Apache Spark in Azure Databricks
- Building Spark-based analytics solutions
Azure Spark-based Analytics platform
- Features of the Azure Spark platform
- Integrating with other Azure services for a complete solution

Monitoring & Security

Azure monitor
- Capabilities of Azure monitor
- How to set up monitoring and what metrics to track
Data Collection by Azure monitor
- Types of data Azure Monitor can collect
- Configuring data collection for optimal monitoring
Utilization and alert management
- Monitoring resource utilization and performance
- Setting up alerts and automated responses
Azure security auditing & logging
- Overview of security auditing and logging features
- Best practices for securing and auditing Azure environments

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Engineers
Data Analysts
Cloud Engineers
Solutions Architects
IT Specialists
Database Administrators
Business Intelligence Developers
Data Scientists
ETL Developers
Software Developers
Data Architects
Managers

What are the Prerequisites?

Professionals can take the Azure Data Factory training course with a basic understanding of data concepts, data processing, and familiarity with cloud computing principles

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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Enquire now

What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Azure Data Factory course revolutionized how I approach my daily responsibilities. As a Lead MLOps Engineer, understanding practical applications was essential, and this training delivered beyond all expectations. The invaluable real-world experience. I've been able to drive meaningful innovation and improvement within my department. The instructor's insights on real-world case studies have proven instrumental in my professional advancement.”

Paris Chandler

Lead MLOps Engineer,

Azure DevOps Platform Provider

"This Azure Data Factory course equipped me with comprehensive advanced methodologies expertise that I've seamlessly integrated into our enterprise practice. The hands-on modules covering expert-led workshops and practical design solutions that consistently deliver measurable business results. Our solution delivery efficiency and quality have increased substantially across the board, validating the immediate impact of this training program.”

Zhang Lei

Principal Data Architect,

Azure Infrastructure Services Provider

"The Azure Data Factory training gave our team advanced industry best practices expertise that revolutionized our strategic implementation approach. As a Senior Data Engineer, understanding interactive labs and real-world case studies across our entire portfolio. Our team's capability maturity level increased by three full stages within six months. This training has become foundational to our team's strategic capabilities and continued growth.”

Kamil Jamil

Senior Data Engineer,

Enterprise Cloud Consulting Company

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your Azure Data Factory Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

Sharmila

Hyderabad, India

Trainer since

January 1, 2019

Sanjay

Mumbai, India

Trainer since

June 1, 2004

Corporate Azure Data Factory Training Course

Drive Team Excellence with Azure Data Factory Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Azure Data Lake Storage

Data Lakes and Cosmos DB

Relational Data Stores

Azure SQL

Azure Batch

Azure Data Factory

Azure Stream Analytics

Azure Data Bricks

Monitoring & Security

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

We have Expert Trainers to Meet Your Azure Data Factory Training Needs

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