Explore popular use cases to empower your teams

Airbyte Version

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Explore Airbyte's incremental refresh data synchronization

made by

Learn how Airbyte’s incremental synchronization replication modes work.

Build an open data lakehouse with Dremio and Airbyte

made by Dremio

Learn how to move all your data to a data lake and connect your data lake with the Dremio lakehouse platform.

Explore Airbyte's full refresh synchronization

made by

Learn the inner workings of Airbyte’s full refresh overwrite and full refresh append synchronization modes.

MySQL CDC: Build an ELT pipeline from MySQL Database

made by

Easily set up MySQL CDC using Airbyte, harnessing the power of a robust tool like Debezium to construct a near real-time ELT pipeline.

Build a connector to extract data from the Webflow API

made by

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

Load Data into Delta Lake on Databricks Lakehouse

made by

Learn how to load data to a Databricks Lakehouse and run simple analytics.

Build an EL(T) from Postgres CDC (Change Data Capture)

made by

Set up Postgres CDC (Change Data Capture) in minutes using Airbyte, leveraging Debezium to build a near real-time EL(T).

Create an open-source dbt package to analyze Github data

made by Cerebrium

Learn how to create a dbt package to analyze Github data extracted with Airbyte.

Orchestrate data ingestion and transformation pipelines with Dagster

made by Elementl

Learn how to ingest and transform Github and Slack data with SQL and Python-based transformations.

Orchestrate ELT pipelines with Prefect, Airbyte and dbt

made by Prefect

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

Build a single customer view with open-source tools

made by

Learn how to use a data integration tool (Airbyte) and a data transformation tool (dbt) to create a single customer view on a data warehouse (BigQuery).

Loading more...