Azure Data Factory Mastery

with Hussein A. Hussein

8 weeks
8 modules, 16 sessions
TBC

What you'll learn

  • Understanding Azure Data Factory: Gain a comprehensive introduction to Azure Data Factory, its components, and its role in data integration.
  • Azure Resource Setup: Learn how to set up Azure resources and create an ADF instance to kick-start your data engineering journey.
  • Data Movement and Transformation: Master the Copy Data activity to move and transform data across different data stores with ADF.
  • Dynamic Content Management: Get skilled at using expressions and parameters to create dynamic, adaptable pipelines in ADF.
  • Advanced Data Flow Control: Learn to manage the logical flow of data with conditional logic, iterations, and dependency handling.
  • Integration Runtime Mastery: Delve into the various Integration Runtimes in ADF and understand how to configure them for optimal performance.
  • Deployment Techniques: Discover how to take your development from the testing phase to a live environment with confidence.
  • Pipeline Automation: Automate your data pipeline executions using various triggers and learn the art of efficient and proactive monitoring.
  • CI/CD Practices: Embrace Continuous Integration and Continuous Deployment practices within ADF to maintain a streamlined development lifecycle.

Instructor

Instructor

Hussein A. Hussein

Meet Hussein, a distinguished Sr. Data Engineer and Solution Architect with extensive experience and 11 certifications from Microsoft and DataBricks. He excels in SQL and Azure cloud technology, offering top-notch cloud solutions. Hussein's passion for teaching and simplifying complex topics makes him an invaluable guide in the data field. Join him for engaging lessons and practical insights to advance your data career.

About this course

Start your journey on a comprehensive Azure Data Factory (ADF) course designed to elevate participants from beginners to skilled data engineers, capable of orchestrating complex cloud-based data solutions. This course offers a deep dive into ADF, a leading tool in cloud data integration, essential for professionals looking to advance in data analytics, lead data-driven projects, or boost their cloud skills. ADF is pivotal in transforming raw data into actionable insights across various sectors like business, healthcare, and government, empowering users to create, automate, and manage sophisticated data workflows and advanced analytics solutions. This course not only equips you with technical prowess in managing robust data pipelines but also enhances your problem-solving skills, positioning you as a strategic thinker ready to tackle modern data challenges and innovate within your field.

Syllabus

Module 1 - Getting to Know ADF:

Begin your expedition into Azure Data Factory by learning how to set up the necessary resources and understand the fundamental concepts.

Module 2 - Data Movement Mastery:

Discover the core functionality of ADF—the Copy Data activity—and become adept at moving and transforming data.

Module 3 - Dynamic Data Handling:

Learn the nuances of expressions and parameters to create adaptable and efficient data pipelines.

Module 4 - Workflow Control and Logic:

Delve into controlling the logical flow of data and get skilled in orchestrating complex data integration tasks.

Module 5 - Integration Runtime Configuration:

Understand and configure the backbone of ADF's data processing capability—Integration Runtimes.

Module 6 - From Development to Production:

Master the process of publishing your pipelines and understand the best practices in deploying your data solutions.

Module 7 - Pipeline Automation and Monitoring:

Learn to automate your pipelines effectively and gain proficiency in monitoring their performance and health.

Module 8 - CI/CD Implementation:

Embrace continuous integration and deployment within ADF, and understand how to maintain an agile and responsive data integration process.

Projects

Project 1 - Fundamentals of Data Integration:

With Azure Data Factory start on a journey into the heart of cloud data integration using Azure Data Factory (ADF). This project introduces the fundamental aspects of ADF, from configuring your environment to orchestrating your initial data pipeline. You'll engage with live data sources, assemble a straightforward ETL process, and learn the essentials of workflow monitoring and management.

Project 2 - Proficient Data Transformation:

In ADF Advance your ADF expertise by mastering data transformations. Utilising Mapping Data Flows, you'll construct intricate ETL procedures for cleaning, aggregating, and transforming substantial datasets, preparing them for in-depth analysis and reporting.

Project 3 - Sophisticated Data Orchestration:

With ADF Elevate your ADF proficiency with sophisticated data orchestration workflows. You'll integrate triggers, parameters, and integration runtimes to construct a highly effective and scalable pipeline that dynamically adapts to data modifications and system events.

Project 4 - Implementing CI/CD:

In ADF Position yourself at the vanguard of DevOps within data engineering. This project involves the application of continuous integration and deployment (CI/CD) for ADF pipelines using Azure DevOps and GitHub Actions, ensuring your data solutions are resilient, rigorously tested, and under version control.

Certificate

Cap off your learning experience with an examination that not only tests your understanding but also celebrates the practical skills you’ve acquired, affirming your ability to tackle real-world data scenarios with expertise and confidence. Start your ADF voyage with us; turn data into insights, processes into efficiency, and learning into actionable results. Welcome to the beginning of your data engineering journey.