The audience for this course are data engineers, data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure that can be used to perform data engineering and storage for analytical solutions. The secondary audience for this course are individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the Azure Data fundamentals course.