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Build Go based connectors

Published April 1, 2022.

MonthlyBytes

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

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Airbyte Launch Week is happening next week!

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 >>


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Build Go-based Airbyte connectors

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 >>


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SQL vs Python for data analysis

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 >>


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Snowflake data warehouse: How to organize databases, schemas, and tables

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

Read it here >>


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Job opportunities at Airbyte

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​

622877902b338408e6ad5b65 real time analytics pipeline

Build a real-time data analytics pipeline with Airbyte, Kafka, and Pinot

Learn how to stream MySQL data to Kafka and use Pinot to build a user-facing analytics dashboard.

Read it here >>


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Load Google Sheets data to PostgreSQL using Airbyte Cloud

Learn how to use Airbyte Cloud to load data from Google Sheets into a PostgreSQL database in AWS RDS.

Read it here >>

Community Content​

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Using lakeFS with Airbyte

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 >>


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Using Materialize with Airbyte

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 >>

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Liberate Your Data

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