Mastering Azure Data Engineering: Part 2 – Azure Skills
Mastering Azure Data Engineering: Part 2 – Azure Skills, Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203.
Course Description
In this intermediate-level course, participants will advance their Azure Data Engineering expertise with a focus on mastering essential Azure skills. Part 2 of the series is designed to deepen understanding and proficiency in key Azure services crucial for data engineering tasks. Through a blend of comprehensive lectures, hands-on labs, and practical case studies, learners will explore data analytics in Azure using Azure Synapse Analytics, Microsoft Fabric, Azure Stream Analytics, Spark Streaming in Azure Synapse Analytics, and Realtime Analytics in Microsoft Fabric. By the end of the course, participants will be equipped to leverage these Azure services effectively to drive data analytics initiatives within their organizations.
Course Objectives:
- Explore the capabilities of Azure Synapse Analytics for comprehensive data analytics in Azure.
- Gain insight into Microsoft Fabric and its role in facilitating data analytics workflows.
- Understand the functionality and use cases of Azure Stream Analytics for real-time data processing.
- Discover Spark Streaming within Azure Synapse Analytics for high-throughput, fault-tolerant stream processing.
- Delve into Realtime Analytics in Microsoft Fabric to analyze data in real-time and derive actionable insights.
Target Audience:
- Data Engineers
- Data Analysts
- Data Scientists
- IT Professionals seeking to enhance their Azure data engineering skills
Prerequisites:
- 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
- Real-world case studies
