Data Ingestion – Practical Data Loading with Azure

Dustin Vannoy

The first step in providing value in your data lake or data warehouse is collecting and organizing data. This session will introduce several options in Azure which can be used for data ingestion. We will discuss the tradeoffs of different options while working through several real-world scenarios.

In this third session of the Azure Data Engineering learning pathway, we will walk through ingesting data from Azure Storage, SQL Server, APIs, and Event Hubs. We will use Synapse Pipelines, Synapse Serverless SQL, Synapse Spark, and Azure Databricks to show how they fit well for specific scenarios.