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Drive Team Excellence with Azure Data Factory Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Azure Data Factory Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

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

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Key Skills Employees Gain from instructor-led 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 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.

Key Learning Outcomes of Azure Data Factory Training Workshop for Employees

Upon completing Edstellar’s Azure Data Factory workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

  • 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 Group Training

Attending our Azure Data Factory group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

  • 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

Topics and Outline of Azure Data Factory Training

Our virtual and on-premise Azure Data Factory training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both 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

Who Can Take the Azure Data Factory Training Course

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

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

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

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
 for Azure Data Factory Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Azure Data Factory training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Training Mode
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Instructor-led Training
Training Mode
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Instructor-led Training
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Instructor-led Training
Virtual trainig

Edstellar's Azure Data Factory virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
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On-site trainig

Edstellar's Azure Data Factory inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
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Off-site trainig

Edstellar's Azure Data Factory offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development
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        Edstellar: Your Go-to Azure Data Factory Training Company

        Experienced Trainers

        Our trainers bring years of industry expertise to ensure the training is practical and impactful.

        Quality Training

        With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

        Industry-Relevant Curriculum

        Our course is designed by experts and is tailored to meet the demands of the current industry.

        Customizable Training

        Our course can be customized to meet the unique needs and goals of your organization.

        Comprehensive Support

        We provide pre and post training support to your organization to ensure a complete learning experience.

        Multilingual Training Capabilities

        We offer training in multiple languages to cater to diverse and global teams.

        Testimonials

        What Our Clients Say

        We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

        "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

        Get Your Team Members Recognized with Edstellar’s Course Certificate

        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.

        Certificate of Excellence

        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.

        Professional Scrum Master Trainer in Hyderabad
        Sharmila
        Hyderabad, India
        Trainer since
        January 1, 2019
        View Sharmila’s Profile
        DevOps Master Trainer in Mumbai
        Sanjay
        Mumbai, India
        Trainer since
        June 1, 2004
        View Sanjay’s Profile

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