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Data Engineering with Microsoft Azure
Master the skills needed to design and implement data solutions on Microsoft Azure, including data storage, processing, and analytics services.
- Design and implement data storage solutions with Azure Data Lake and Blob Storage
- Build ETL/ELT pipelines with Azure Data Factory and Synapse Pipelines
- Process big data using Azure Databricks and HDInsight
- Implement real-time data solutions with Event Hubs and Stream Analytics
- Work with Azure Synapse Analytics for data warehousing
- Ensure data security and compliance with Azure Purview and security features
- Monitor and optimize data solutions with Azure Monitor and Log Analytics
What's Included
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Hands-on Azure Data Engineering
Work with real-world datasets and Azure data services
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35+ Live Interactive Sessions
4 months of expert-led live training
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Microsoft Certified Trainers
Learn from certified professionals
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3+ Real-world Projects
Build end-to-end data solutions on Azure
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60+ Hands-on Labs
Practice with Azure Data Factory, Synapse, and Databricks
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Career Support
Resume and interview preparation
Learn from Industry Experts
Satyam Pandey
Lead Data Engineer
9+ years in Data & Cloud
Expertise:
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Solutions Architect
- Big Data Specialist
- Data Pipeline Architect
Satyam has extensive experience in building modern data platforms on Microsoft Azure and has helped numerous organizations implement data-driven solutions using Azure data services.
Data Engineering with Azure
Master data engineering on Microsoft Azure with hands-on training in data pipelines, data lakes, and big data processing.