Use Octavia CLI to import, edit, and apply Airbyte application configurations to replicate data from Postgres to BigQuery.

Learn how to build an ELT pipeline to discover GitHub users that have contributed to the Prefect, Airbyte, and dbt repositories.

Learn how to use Airbyte’s Python CDK to write a source connector that extracts data from the Webflow API.

Learn how Airbyte’s Change Data Capture (CDC) synchronization replication works.

Learn how to quickly set up a modern data stack using Docker Compose with Airbyte, BigQuery, dbt, Airflow and Superset.

Learn how to build robust ETL pipelines using Python, Docker, and Airbyte. A guide for data engineers covering setup, implementation, & best practices.

Configure an error analysis stack utilizing Sentry, Airbyte, Snowflake, dbt, and Dagster.

Build a full data stack that creates a table snapshot from a database and stores it in an Amazon S3 bucket as a JSONL file using Airbyte and then loads the snapshot file to a preferred data warehouse.

Kickstart your developer productivity analytics with a unified data stack. From Github to BigQuery via Airbyte, with the power of Dbt and Dagster. Simplify, analyze, and optimize effortlessly.

Explore the fusion of Airbyte, dbt, and GitHub API to gain deep insights into code quality, collaboration, and project vitality.

Learn how to export data from a Postgres table to a .CSV file in an Azure Blob Storage by using the new Airbyte API

Data integration as code; Creating Airbyte sources, destinations, or connections depending on external factors.