Bringing data to Azure Synapse

In the Understanding the architecture and components section, we saw how architectures use different Azure services to perform real-time analytics on Azure. In this section, our main focus is to bring data from all data sources to Azure Synapse. We are going to learn about bringing data to Azure Synapse by using Azure Stream Analytics jobs, and later we will see how we can use Azure Databricks to copy data to Azure Synapse.

Using Azure Stream Analytics

Azure Stream Analytics is a real-time analytics engine that is designed to process a large volume of streaming data from various sources to various targets. Within Azure Stream Analytics, you can create an Azure Stream Analytics job that consists of an input, a query, and an output. You can use the Stream Analytics job to ingest data directly from the source to the target as is, or you can perform certain aggregation operations on the input data before sending it to the target.

These are the...