Connector reliability as the primary focus
Published December 6, 2021.
MonthlyBytes
Here are the community news and product updates of the past month.
Last month we focused on improving connector reliability. We want every Airbyte sync to be a world-class user experience.
Airbyte Community Call with Prefect
On December 14th we'll announce the Prefect integration with Airbyte and show how to create an ELT pipeline using Prefect, Airbyte and dbt.
Our Hacktoberfest event was a resounding success. We had 42 connectors contributed to open source by participants, who joined from all over the world to help address the long tail of integrations.
Check out all the Pull Requests >>
Data integration without data engineers at BetterSaver
BetterSaver tracks customer journeys and collects customer touchpoints from multiple sources. Using Airbyte, BetterSaver centralizes data into BigQuery to power Google Data Studio dashboards and Jupyter notebooks.
Rewatch our last Community Call
Luis Gomez from Calixa came on our previous Community Call to go over tips and tricks with using our CDK to build out source connectors.
Check out the recording here >>
New Recipes
Build a single customer view with open-source tools
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).
Set up a modern data stack with Docker
Learn how to quickly set up a modern data stack using Docker Compose with Airbyte, BigQuery, dbt, Airflow and Superset.
Sync MySQL CDC to Kafka using Change Data Capture
Learn how to stream changes from a MySQL database to Kafka using Change Data Capture (CDC).
Community Highlights
Build a real time dashboard using a decentralized platform
The Streamr team built a custom Airbyte destination to be able to stream data from any Airbyte source to their decentralized real‑time data network.
Launching a docker-based modern open-source data stack
The Cartelis teams shares how to setup a modern data stack with Airbyte, dbt, PostgreSQL and Airflow.
Liberate Your Data



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