Corporate Azure Data Factory Training Course

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.

24 - 32 hrs
Instructor-led (On-site/Virtual)
Language
English
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Azure Data Factory Training

Drive Team Excellence with Azure Data Factory Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online Azure Data Factory Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Azure Data Factory corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Azure Data Factory group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

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

Key Skills Employees Gain from Azure Data Factory Training

The Azure Data Factory skills corporate training will enable teams to effectively apply their learning at work.

  • Data Integration Techniques
  • Data Orchestration
  • Automation of Data Workflows
  • Monitoring and Managing Pipelines
  • Security and Compliance

Azure Data Factory Training for Employees: Key Learning Outcomes

Edstellar’s Azure Data Factory training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Azure Data Factory workshop, teams will to master essential Azure Data Factory and also focus on introducing key concepts and principles related to Azure Data Factory at work.


Employees who complete Azure Data Factory training will be able to:

  • 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

Key Benefits of the Azure Data Factory Corporate Training

Attending our Azure Data Factory classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Azure Data Factory training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Azure Data Factory.

  • Develop a comprehensive understanding of ETL workflows, enabling you to design and manage efficient data pipelines with precision and effectiveness
  • Learn the fundamentals of Azure Data Factory through Edstellar's corporate training program, gaining valuable insights into data integration and orchestration
  • Equip teams with practical skills and hands-on experience, ensuring you can confidently navigate and utilize Azure Data Factory in diverse organizational scenarios
  • Expand your knowledge base with up-to-date insights on the latest features and capabilities of Azure Data Factory, staying ahead in the rapidly evolving field of data management
  • Upskill your workforce, promoting a culture of continuous learning and innovation as employees master the art of leveraging Azure Data Factory for enhanced data processing and transformation

Azure Data Factory Training Topics and Outline

Our virtual and on-premise Azure Data Factory training curriculum is divided into multiple modules designed by industry experts. This Azure Data Factory training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Azure Data Lake Storage introduction
    • Explanation of Azure Data Lake Storage
    • Benefits and applications
  2. Components of Azure Data Lake
    • Storage layers
    • Integration with other Azure services
  3. Data Storage method
    • Data storage architecture
    • Data lake versus traditional data storage
  4. Necessity of Data Lakes
    • Use cases for data lakes
    • Comparison with data warehouses
  5. Azure Data Lake Generation 2
    • Features of Gen2
    • Improvements over previous versions
  6. Architecture overview
    • Detailed architecture
    • Scalability and security features
  1. Data Lakes basics
    • Definition and importance of data lakes
    • Key characteristics of data lakes
  2. Introduction to Azure Cosmos DB
    • Overview of Cosmos DB
    • Key features and benefits
  3. The need for Azure Cosmos DB
    • Use cases and scenarios for Cosmos DB
    • Performance and scalability advantages
  4. Understanding Azure Blob Storage
    • Fundamentals of Blob Storage
    • Types of blobs and use cases
  5. The Importance of Blob Storage
    • Strategic benefits of using Blob Storage
    • Integration with Azure services
  6. Data partitioning
    • Principles of partitioning
    • Best practices in data partitioning
  7. Significance of data partitioning
    • Improving performance through partitioning
    • Examples of effective partitioning strategies
  8. Consistency in Azure Cosmos DB
    • Consistency models in Cosmos DB
    • Choosing the right consistency level
  1. Overview of relational data stores
    • Definition and core concepts
    • Comparison with non-relational data stores
  2. Azure SQL database essentials
    • Key features of Azure SQL Database
    • Deployment options and models
  3. Elasticity in SQL databases
    • Concept of SQL Database Elastic Pool
    • Benefits and use cases
  1. Requirements for Azure SQL
    • Business and technical requirements
    • Compliance and security considerations
  2. Security features
    • Security tools and features in Azure SQL
    • Best practices for securing Azure SQL Database
  3. High-Availability in Azure SQL database
    • Strategies for achieving high availability
    • Role of Azure in disaster recovery
  4. Diverse Azure database options
    • Overview of database options (MySQL, PostgreSQL, MariaDB)
    • Use cases for each database type
  5. Utilizing polybase
    • Introduction to Polybase
    • Use cases and integration with Hadoop
  6. Azure synapse analytics
    • Features of Azure Synapse Analytics
    • Integration with other Azure services
  1. Definition and use
    • What is Azure Batch?
    • Overview of features and capabilities
  2. Workload categories
    • Types of workloads suitable for Azure Batch
    • Differences between tightly coupled and intrinsically parallel workloads
  3. Batch capabilities
    • Advanced capabilities of Azure Batch
    • Customization and flexibility in processing
  4. Batch operations
    • Step-by-step process of setting up and running a batch job
    • Monitoring and managing batch jobs
  1. Comparison of SSIS and ADF
    • Differences between SSIS and Azure Data Factory
    • When to use SSIS vs. ADF
  2. Understanding data sets
    • Types of data sets in Azure Data Factory
    • Usage scenarios for different data sets
  3. Utilizing linked services
    • What are linked services?
    • Configuring linked services for data integration
  4. Parameters and variables
    • Differences between parameters and variables
    • How to use them in data factory pipelines
  5. Pipeline management
    • Creating and managing pipelines
    • Tips for efficient data copying and pipeline monitoring
  6. Pipeline deployment
    • Deployment strategies for data factory pipelines
    • Testing and validation in different environments
  7. Integration runtime configurations
    • Types of integration runtimes
    • Configuring and optimizing for different scenarios
  8. Azure integration runtimes
    • Specifics of Azure-hosted and SSIS integration runtimes
    • Best practices for integration runtime management
  9. Pipeline operations
    • Detailed steps for pipeline execution
    • Handling errors and managing pipeline performance
  1. Working with stream analytics
    • Introduction to stream analytics
    • Setting up and configuring stream analytics jobs
  2. Advantages and capabilities
    • Key features and benefits of using Stream Analytics
    • Real-time analytics and event processing
  3. Windowing functions of stream analytics
    • Types of windowing functions available
    • Application examples and best practices
  1. Define Azure Data Bricks
    • What is Azure Databricks?
    • Core components and architecture
  2. Apache Spark in the Azure Data Bricks
    • Role of Apache Spark in Azure Databricks
    • Building Spark-based analytics solutions
  3. Azure Spark-based Analytics platform
    • Features of the Azure Spark platform
    • Integrating with other Azure services for a complete solution
  1. Azure monitor
    • Capabilities of Azure monitor
    • How to set up monitoring and what metrics to track
  2. Data Collection by Azure monitor
    • Types of data Azure Monitor can collect
    • Configuring data collection for optimal monitoring
  3. Utilization and alert management
    • Monitoring resource utilization and performance
    • Setting up alerts and automated responses
  4. Azure security auditing & logging
    • Overview of security auditing and logging features
    • Best practices for securing and auditing Azure environments

This Corporate Training for Azure Data Factory is ideal for:

What Sets Us Apart?

Azure Data Factory Corporate Training Prices

Our Azure Data Factory training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Azure Data Factory training cost and take the first step toward maximizing your team's potential.

Request for a quote to know about our Azure Data Factory corporate training cost and plan the training initiative for your teams. Our cost-effective Azure Data Factory training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Azure Data Factory training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

Azure Data Factory Course Completion Certificate

Upon successful completion of the Azure Data Factory training course offered by Edstellar, employees receive a prestigious course completion certificate, symbolizing their dedication to ongoing learning and professional development. This certificate not only validates the employees' acquired skills but also serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.

Target Audience for Azure Data Factory Training Course

The Azure Data Factory training course is ideal for data professionals, analysts, and IT professionals

The Azure Data Factory training program can also be taken by professionals at various levels in the organization.

Azure Data Factory training for managers

Azure Data Factory training for staff

Azure Data Factory training for leaders

Azure Data Factory training for executives

Azure Data Factory training for workers

Azure Data Factory training for businesses

Azure Data Factory training for beginners

Azure Data Factory group training

Azure Data Factory training for teams

Azure Data Factory short course

Prerequisites for Azure Data Factory Training

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

Assess the Training Effectiveness

Bringing you the Best Azure Data Factory Trainers in the Industry

The instructor-led Azure Data Factory 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 Azure Data Factory Access practices.

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Training Delivery Modes for Azure Data Factory Group Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online Azure Data Factory training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.

Virtuval
Virtual

Instructor-led Training

Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.

On-Site
On-Site

Instructor-led Training

Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.

Off-Site
Off-site

Instructor-led Training

Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.

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