Unlock the skills you need to design, build, and manage modern data solutions in the cloud. In this webinar, you’ll get a guided overview of the full Azure data engineering ecosystem, including Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Databricks, Azure Stream Analytics, and more.
This session will show you how Azure’s data platform services fit together to power end-to-end analytics.
What You’ll Learn
- How data engineering works in the Azure ecosystem
- Best practices for building scalable data pipelines and transformation workflows
- Working with data lakes, serverless SQL, Spark, and Delta Lake
- Implementing streaming analytics and real-time dashboards
- How to govern and track data assets using Microsoft Purview
Audience
Data engineers, data architects, BI professionals, analysts, and data scientists looking to elevate their Azure data engineering skills or prepare for advanced Azure training.
Duration
1 hour
Topics
- Introduction (2 mins)
- Welcome, speaker intro
- Who should attend & what they’ll learn
- Azure Data Engineering Overview (5 mins)
- Key services: ADLS Gen2, Synapse, Databricks, Stream Analytics
- How they fit together in a modern data architecture
- Building Modern Data Pipelines (8 mins)
- Ingestion patterns (batch/stream)
- Using Data Factory/Synapse Pipelines
- Best practices for scalable ETL/ELT
- Working with Data Lakes, Spark & Delta Lake (8 mins)
- Data lake zones
- Databricks Spark workflows
- Delta Lake benefits
- Real-Time Analytics (6 mins)
- Stream Analytics vs Spark streaming
- Real-time dashboards with Power BI
- Data Governance with Purview (5 mins)
- Cataloging, lineage, and access governance
- Wrap-Up & Q&A (10 mins)
Why Join?
Gain practical insights, real-world examples, and a clear roadmap for mastering data engineering workloads in Microsoft Azure, straight from expert instructors.
Reserve your spot and take the next step toward becoming a certified Azure Data Engineer.