Azure Stream Analytics: Real-time data processing is a critical component of modern data engineering. Azure Stream Analytics provides the capability to ingest, process, and analyze streaming data in real-time. It integrates seamlessly with other Azure services, enabling organizations to build real-time dashboards, detect anomalies, and trigger alerts based on streaming data. Azure HDInsight: For organizations seeking to leverage open-source big data technologies, Azure HDInsight is the solution. It offers managed clusters for Apache Hadoop, Spark, Hive, and more. This service allows data engineers to deploy and scale open-source frameworks with ease, making it an excellent choice for big data processing and analytics. Azure Data Engineering Benefits: Scalability: Azure Data Engineering is designed to scale with your organization’s data needs. You can start small and expand as your data requirements grow, ensuring that your infrastructure is always aligned with your business objectives.