The recommended order of courses to prepare for the DP-203 Data Engineering on Microsoft Azure Certification are as follows: * Building an Azure Data Engineer Foundation * Data Ingestion and Preparation * Processing in Azure Using Batch Solutions * Processing in Azure Using Streaming Solutions * Secure, Monitor, and Optimize Data Storage and Processing Finally, use the Practice Exams to test your understanding for the Exam. In this course, Processing in Azure using Streaming Solutions, you will learn about processing data streams using Azure Event Hubs, Stream Analytics, and Databricks. The material covered in this course is what you need to know when preparing for the *Develop a Stream Processing Solution* section of the DP-203 exam. Processing data in a stream, instead of per batch, is particularly useful in scenarios where you need near-real time answers to queries as soon as new data points come in. Examples are detecting and preventing fraudulent transactions and monitoring social media comments. In Azure, there are three services you'll use when working with streaming data: * Azure Event Hubs for ingesting and buffering data * Azure Stream Analytics for processing and transforming datastreams * Azure Databricks for processing and transforming data streams In this course, you will learn how to work with these services to: * Ingest data from streaming data sources * How to write Stream Analytics queries that produce results based on query windows * Partition data streams for scale * Deal with adversity * And more If you are preparing to take the DP-203 exam, this course will help you get ready for the section on streaming data.