Apache Kafka is an open source distributed data store used for consuming and processing streaming data in real-time. Using Meltano, an open source ELT DataOps framework, and target-miso, an open source Singer component, Miso can help you automate the process of sending your data from Apache Kafka to Miso's Search and Recommendation engines.
Build your Meltano project
- Follow Meltano’s guide to install the framework (Note: You can either install Python and the Meltano package to your local machine or use their official docker image for the environment).
- Setup your project skeleton using our examples.
- Configure the Apache Kafka extractor following the instructions here.
- Follow this guide to configure the loader (target-miso) to pipe your data to Miso’s engine.
- Optional: You can configure an orchestrator, like Airflow, to automate and schedule the data flow.
Tips and Tricks
- In Meltano’s CLI, you can use
--dry-runflag to test the configuration.
- Use the
discovercapability of your tap to confirm stream IDs.
meltano invoke tap-* --testto emit a single record for testing purposes.
meltano invoke target-* --inputto test a loader.
For more information on Miso’s API, check out the official API Documentation.
For more Integrations like this, visit the Integrations page on our Docs site.
For more information on getting started with Meltano, see their official documentation.
Published Date: June 27th, 2022