The field of data engineering involves handling vast amounts of data through processing, transformation, and storage to enable businesses to make informed decisions based on analytics. In recent years, the ability to process data in real-time has become increasingly critical to organizations as they seek to improve decision-making speed. This article examines the use of SQL Server and Kafka in combination to create real-time data engineering pipelines. To enable real-time data processing, stream processing pipelines can be constructed utilizing tools such as Informatica, SQL Server, and Kafka. The article explores the advantages of using these technologies together to construct data
