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Monthly Bytes

Welcome to the Connector Marketplace!

- New catalog of 120+ connectors - A guide to database replication with open source - The Data Engineering Cookbook

September 14, 2021
WeeklyBytes
Here are the community news and product updates of the past week.
A lot of companies wants to pay to get their custom connectors built, and we know lots of consulting agencies and contractors that wants to help. So we built a Connector Marketplace! A note: if you contribute a new connector to the open-source repo, we'll give you $500 worth of Airbyte Cloud credits!
Check the marketplace >>
You can now request and vote for new connectors directly in the new catalog. Check out the new connectors we released too!
Check the new catalog >>
In the world of constantly evolving data, one question often pops up: How is it possible to seamlessly replicate data that is growing exponentially and coming from an increasing number of sources?
Read the article >>
Over the next few weeks, we're looking to massively improve documentation and want your feedback on what we should focus on. By filling out this survey, you will directly influence our roadmap and what we create.
Participate to the 5-min survey >>
In the last month, we supported 30 new connectors, including a few significant ones. Check it out!
Check the changelog >>
Community Highlights
Tim will tell us how Latticework Insights implemented Airbyte for data centralization and handling slowly changing dimensions, at the next community call on Monday September 20th at 2pm PT.
Register here >>
An article about what the dysfunctions of data engineering are. You'll find a lot of founding concepts in the article: type of data engineers, inversion of responsibility, driving data rather than data-driven.
Check the ranking >>
A great summary by SeattleDataGuy about the modern data stack (MDS), talking about BigQuery, Airbyte and Census.
Read the article >>
An article about how to structure your data team according to the size of your organization and its data maturity.
Check the article >>
Andreas Kretz wrote an awesome open-source new book about "What do you actually need to learn to become an awesome data engineer?".
Check the book >>
A podcast with Airbyte's very own Natalie Kwong about the vocabulary used in data engineering.
Listen to the podcast >>
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