Mastering Azure Data Engineering Workshop

Date and Time: Sunday 14/04/2024 - 5PM

Duration: 90 Min

Location: Zoom

About the Workshop:

Join us for an immersive workshop designed to equip you with the essential skills and knowledge needed to excel in Azure Data Engineering. Whether you're a beginner or looking to enhance your existing expertise, this workshop offers valuable insights and practical guidance on leveraging Azure cloud services effectively.

Workshop Agenda:

1.Introduction to Azure Cloud:

• Understanding Azure services and infrastructure
• Basics of Azure resource management and security

2.SQL and Python for Data Engineering:

• Fundamentals of SQL for data manipulation and querying
• Introduction to Python for data analysis and manipulation
• Integration of SQL and Python in Azure environment

3.Apache Spark on Databricks:

• Overview of Apache Spark and its capabilities
• Introduction to Databricks as a unified analytics platform
• Hands-on exercises on Spark for big data processing

4.Azure Data Factory:

• Understanding Azure Data Factory and its components
• Creating and managing data pipelines in Azure Data Factory
• Orchestration of data workflows in Azure environment

Who Should Attend:

• All ETL developers on Talend, Informatica, Data stage
• SQL developers
• Any Engineering graduate
• IT professionals interested in Azure data services

What You'll Gain:

• Practical skills in leveraging Azure cloud for data engineering tasks
• Proficiency in SQL and Python for data manipulation and analysis
• Understanding of Apache Spark for big data processing
• Ability to create and manage data pipelines using Azure Data Factory

Pre-requisites:

• Basic understanding of data concepts
• Familiarity with cloud computing (Azure experience is a plus but not required)
• Some knowledge of SQL and/or Python would be beneficial

Workshop Format:

• Interactive sessions with live demonstrations
• Hands-on exercises to reinforce learning
• Q&A sessions for clarifying doubts and discussing real-world scenarios