Getting Started-Task Management & Pipeline | Databend Cloud Fundamentals 03

Turn your Databend Cloud setup into an automated incremental data pipeline. Databend Cloud Fundamentals is a fast-paced, hands-on video series for data engineers and architects who want to build real workflows on a cloud-native lakehouse. In Episode 03, you’ll use Tasks and a Task Flow to generate JSON logs, load them into raw_logs, process incremental changes, and transform the results into parsed_logs. You’ll learn how to: Create and publish a Task Flow Schedule SQL Tasks for log generation and ingestion Use COPY INTO to move data between a Stage and a table Transform new rows from raw_logs_stream Monitor run history and manage the workflow lifecycle The completed data path is: Stage → raw_logs → Stream → parsed_logs Start with $200 in free Databend Cloud credits: https://app.databend.com/ Explore the documentation: https://docs.databend.com/ Subscribe for the next lesson in Databend Cloud Fundamentals. #DatabendCloud #DataEngineering #Lakehouse #SQL