Welcome to Airbyte Recipes
Published July 22, 2021.
Here are the community news and product updates of the past week.
Recipes are short tutorials to help you best leverage your data using Airbyte among use cases. "Build a GitHub activity dashboard" | "Save and Search through your Slack messages, even in free" | "Migrate from MySQL to PostgreSQL" and more...
Google Pubsub, CockroachDB, IBM Db2, Square, Paypal, SurveyMonkey & more
New destination with Google Pubsub. Lots of new sources with CockroachDB, IBM Db2, Square, Paypal, SurveyMonkey, and AWS CloudTrail!
Airbyte Community Call 04 and the automation of Airbyte deployment with Terraform
Here's the 4th session of our community call. Tuan Nguyen from Joon Solutions showed us how they leverage Terraform to automate Airbyte deployments on GCP. We also did a demo on how to leverage Airflow for Airbyte.
Our first demo hour on custom dbt transformations
In this first demo hour, Marcos gives a demo on how to use
Community Highlights
Next community call 05 with Harshith Mullapudi on August 16th
Harshith will tell us how they have created 1,000+ connections with Airbyte.
How to predict purchase on Shopify with Airbyte and MindsDB
Here's a 'how-to' guide brought by MindsDB on how to integrate machine learning into a Shopify store.
Deploy Airbyte on Oracle Cloud Infrastructure and Replicate a PostgreSQL Table to MySQL
It's pretty awesome to see the Oracle team contribute to our documentation and build the deployment docs for Oracle Cloud Infrastructure VM! And they even wrote a quickstart article how to leverage it 🔥.
The #1 reason Snowflake is different
Here's an analysis on the evolution of data warehouses and of Snowflake, in order to explain the major technical advantage they have over others
What is the future of data engineering?
A few good points on this article from Rudderstack: - the coming rise of chief data officers, - data becomes important in every single development team (data mesh concept), - data integration will become commoditized (that's Airbyte!).
Liberate Your Data









