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Connector reliability as the primary focus

Published December 6, 2021.

MonthlyBytes

Here are the community news and product updates of the past month.

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Airbyte November Update

Last month we focused on improving connector reliability. We want every Airbyte sync to be a world-class user experience.

Read about it here >>


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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.

Sign up here >>


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Airbyte Hacktoberfest results

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 >>


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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.

Read the case study >>


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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​

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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).

Read it here >>


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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.

Read it here >>


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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).

Read it here >>

Community Highlights​

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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.

Read it here >>


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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.

Read it here >>

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Liberate Your Data

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