Abstract This lab workshop is designed for technical developers and professionals who are ready to dive into the world of stream processing. Join Solution Engineer and Streaming expert Alex Campos as he leads you through exercises and lab activities that help you build and end-to-end streaming application using popular open source tools such as Apache Flink, Kafka, Postgres, Grafana and MinIO. Attendees will be granted a Ververica official virtual badge after completing all the labs. 2. Agenda ● Welcome and Introductions ● Introduction to Streaming Processing ● Apache Flink and the Real-time Ecosystem ● Flink SQL ● Break (10:55-11:20) ● Use case introduction ● Lab 1: Connecting to data source ● Real-time Analytics ● Lunch break (13:00-14:00) ● Lab 2: Processing data in real-time ● Lab 3: Sinking Data ● Flink Job Lifecycle ● Break (15:30-15:55) ● Lab 3: Building real-time visualizations ● Wrap up and conclusions 3. Objectives At the end of the workshop attendees be able to: ● Describe the fundamentals of stream processing, ● Explain how Apache Flink plays a critical role in the streaming ecosystem. ● Summarize the current state-of-the-art in the real-time ecosystem. ● Apply streaming concepts by building and deploying a real-time use case ● Integrate both bounded and unbounded data sources into a streaming pipeline. ● Apply data enrichment and aggregation techniques to support business decisions. 4.Target audience and Prerequisites Target Audience: Data Engineers, Data Architects, Developers, Data Integration, Platform Architects, Platform Managers. In general, technical and hands-on professionals. Knowledge requirements: SQL and basic programming experience 5. Technical requirements Attendees don’t need to do any previous preparation. They will access the Lab environment using a web browser from their laptops/notebooks.● Develop real-time visualizations that support decision-makers.