Data Engineering on Microsoft Azure

What Will You Learn?

• Implement and manage data engineering workloads on Microsoft Azure using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others.
• - Orchestrate data transfer and transformation pipelines, work with data files in a data lake, create and load relational data warehouses, capture and aggregate streams of real-time data, and track data assets and lineage.
• - Design and implement data storage, processing, security, and monitoring solutions on Azure.
• - Integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services.