Mastering Azure Data Engineering: Part 5 – Azure Skills

Mastering Azure Data Engineering: Part 5 – Azure Skills, Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203.

Course Description

Section 1 of this course focuses on mastering Azure Data Engineering, emphasizing crucial Azure skills. Part 5 of the series zooms in on Azure Synapse Analytics, a powerful analytics service that seamlessly combines big data and data warehousing. Through a series of lectures, practical demonstrations, and hands-on labs, participants will explore the capabilities of Azure Synapse Analytics, including querying files and transforming data using serverless SQL pools. By the end of the section, learners will possess the knowledge and skills to leverage Azure Synapse Analytics effectively for data analytics and processing tasks, empowering them to drive data-driven insights within their organizations.

Course Objectives:

  1. Explore the features and functionalities of Azure Synapse Analytics for data analytics and processing.
  2. Utilize serverless SQL pools in Azure Synapse Analytics to query files efficiently.
  3. Perform data transformations using serverless SQL pools within Azure Synapse Analytics.
  4. Apply best practices and techniques for optimizing data analytics workflows in Azure Synapse Analytics.

Target Audience:

  • Data Engineers
  • Data Analysts
  • Data Scientists
  • IT Professionals seeking to enhance their Azure data engineering skills


  • Basic understanding of Azure services and cloud computing concepts.
  • Familiarity with data engineering principles and practices.

Delivery Format:

  • Instructor-led training sessions
  • Hands-on labs and exercises and Real-world case studies

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