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:

1. Acquire proficiency in loading data into relational data warehouses, optimizing data storage and retrieval processes.

2. Develop skills in analyzing data stored in lake databases, utilizing Azure tools for efficient data exploration and analysis.

3. 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

Who this course is for:

• This course is designed for data engineers, data analysts, and IT professionals aiming to enhance their skills in Azure data engineering. It’s also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether you’re a beginner looking to enter the field or an experienced professional seeking to expand your expertise, this course offers practical insights and hands-on experience to propel your career forward.