How-to guides Solution guides The Decodable catalog contains ready-to-run patterns, pipelines, and sample data for common scenarios across a range of industries. The solutions also show a wide range of SQL capabilities including windowing, statistics, complex math and training an ML feature store. Each solution comes complete with a comprehensive description of the business scenario, the problem solved by Decodable, and how the pipelines perform the various operations on the stream. They include all the code and data needed to replicate the scenario in a free Decodable account. ✈️ Flight Status 💰 Claims Adjudication 📈 Financial Analysis 🔍 Customer 360 💽 Customer Data 🍽️ Food Delivery 🚨 Fraud Detection 🩺 Healthcare Monitoring 🚛 Shipping & Tracking 🏏 Sporting Events 🏭 Inventory Control 🕸️ Web Clickstream Tutorials These in-depth tutorials guide you step-by-step through building particular solutions with Decodable. Ingest data into your data warehouse, data lake, or OLAP database Transform data between Kafka topics Create a curated stream of data for other teams Replicate data from a database to your data warehouse or data lake using Debezium-powered CDC Examples The Decodable examples GitHub repository includes many useful examples with Decodable and Apache Flink. Highlights include: Getting Started With PyFlink on Kubernetes or Decodable Writing to Apache Iceberg from Flink or Decodable Writing to Delta Lake from Apache Flink Array Aggregation with Decodable Example Docker Compose environments for running Flink SQL with different technology stacks locally Processing GitHub Webhooks With Decodable Data Contracts For Change Data Capture