stream processing pipeline using dbt and Confluent Cloud
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Updated
Apr 2, 2026
stream processing pipeline using dbt and Confluent Cloud
This library provides a collection of Python functions that interact with Confluent Cloud via its RESTful APIs.
This project demonstrates how to use Terraform to enable Tableflow in Kafka to generate and store the Iceberg Table files in an AWS S3 bucket. Then, configure Snowflake to read the Iceberg Tables using AWS Glue Data Catalog and the AWS S3 bucket where Tableflow produces the Iceberg files.
Utilize your Avro schema to identify which records require unnesting, and convert that into dynamic Flink SQL statements.
Repository to develop a Flink UDF driven by Confluent VS extension and powered by Claude Coude
Repository to try out the CC Flink forecast functionality
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