Mastering Azure Data Engineering: Part 7 – Azure Skills
Mastering Azure Data Engineering: Part 7 – Azure Skills, Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203.
Course Description
In this course module, participants will further their mastery of Azure Data Engineering by focusing on crucial Azure skills. Part 7 of the series concentrates on essential Azure services for efficient data management and analysis. Through a blend of comprehensive lectures, hands-on labs, and practical case studies, learners will deepen their understanding of loading data into relational data warehouses, analyzing data in lake databases, and exploring relational data warehouses using Azure tools. By the end of the course, students will possess the expertise to effectively manage and analyze data within Azure environments, empowering them to drive data-driven initiatives within their organizations.
Course Objectives:
- Acquire proficiency in loading data into relational data warehouses, optimizing data storage and retrieval processes.
- Develop skills in analyzing data stored in lake databases, utilizing Azure tools for efficient data exploration and analysis.
- Explore relational data warehouses effectively using Azure services, gaining insights and actionable intelligence from structured data sources.
Target Audience:
- Data Engineers
- Data Analysts
- Data Scientists
- IT Professionals seeking to enhance their Azure data management and analysis skills
Prerequisites:
- Basic understanding of Azure services and cloud computing concepts.
- Familiarity with data engineering and data analysis principles.
Delivery Format:
- Instructor-led training sessions
- Hands-on labs and exercises
