Building Streaming Data Pipelines, Part 1: Data Exploration With Tableflow
Tableflow enables seamless querying of Kafka topics by syncing them to Apache Iceberg tables, making real-time data exploration easier using standard SQL tools like Trino and PopSQL. In this example, sensor data from the U.K. Environment Agency is ingested into Kafka, exposed via Tableflow, and analyzed by joining related datasets to build a denormalized view. This process lays the groundwork for building streaming data pipelines with a clear understanding of the underlying data.
Tableflow enables seamless querying of Kafka topics by syncing them to Apache Iceberg tables, making real-time data exploration easier using standard SQL tools like Trino and PopSQL. In this example, sensor data from the U.K. Environment Agency is ingested into Kafka, exposed via Tableflow, and analyzed by joining related datasets to build a denormalized view. This process lays the groundwork for building streaming data pipelines with a clear understanding of the underlying data.