This course explores how data professionals can prepare and analyze data with Azure Databricks using Apache Spark's distributed computing capabilities. Students learn to manage data quality and versioning with Delta Lake, build automated pipelines using Delta Live Tables, and implement governance through Unity Catalog. The course demonstrates workflow orchestration for production deployments and collaborative development using Python and SQL notebooks for serving prepared data at scale.
This course is intended for data analysts who want to leverage Azure Databricks for advanced data analysis and preparation workflows. This content is targeted at analysts who need to work with large datasets using distributed computing, collaborate in notebook environments, and understand modern data lakehouse technologies to deliver insights and prepared data for analytics consumers.
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Class times are listed Eastern time
This is a 1-day class
The classes listed are available to all United Training customers and does not reflect, in any way, the availability or support of technology within the University of Maine System.