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Monthly Bytes

Build Go based connectors

- SQL vs Python for data analysis - Snowflake data warehouse architecture - Build a real-time data analytics pipeline - lakeFS and Materialize integrations

April 1, 2022
MonthlyBytes
Here are the community news and product updates of the past month.
Join us April 4-7 for a week full of exciting announcements at 10am PT. Learn about our community strategy, Airbyte Cloud, new features, and one surprise!
Register here >>

In case you missed it, here is the replay from the previous edition of the Airbyte Community Call. Saif Abid presented the Golang CDK they developed for Airbyte.
Watch it here >>

Richard Pelgrim from Coiled compared SQL and Python performance, functionality, and developer experience. He references the latest projects to combine both languages.
Read it here >>

Community member Madison Schott shared her best practices to organize databases, schemas, and tables in Snowflake for ELT pipelines.
Read it here >>

Join us on a mission to commoditize data integration. We have open positions across all teams: Community, Engineering, GTM, Product, Recruiting, and Support.
See jobs >>
Tutorials
Learn how to stream MySQL data to Kafka and use Pinot to build a user-facing analytics dashboard.
Read it here >>

Learn how to use Airbyte Cloud to load data from Google Sheets into a PostgreSQL database in AWS RDS.
Read it here >>
Community Content
lakeFS is an open-source project that provides a git-like version control interface for data lakes. You can now use Airbyte to send data from any supported source to lakeFS using the S3 destination connector.
Discover it here >>

Community member Bobby Iliev created a sample Github project that combines Airbyte PostgreSQL and Kafka connectors to stream data to Materialize. Materialize is a streaming database that maintains the results of a SQL query in memory as the data changes.
Discover it here >>
Liberate Your Data