Welcome to the Connector Marketplace!
Published September 14, 2021.
Here are the community news and product updates of the past week.
Welcome to the Connector Marketplace!
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!
Our new Catalog of 120+ connectors
You can now request and vote for new connectors directly in the new catalog. Check out the new connectors we released too!
A guide to database replication with open source
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?
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 >>
MongoDB, DynamoDB, Bing Ads, Amazon Ads, BambooHR, Facebook Pages...
In the last month, we supported 30 new connectors, including a few significant ones. Check it out!
Community Highlights
Next community call 06 with Tim Shea
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.
From Data Driven to Driving Data— The dysfunctions of Data Engineering
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.
How Are Companies Taking Advantage Of Their Data Without Increasing Their Data Teams Size
A great summary by SeattleDataGuy about the modern data stack (MDS), talking about BigQuery, Airbyte and Census.
How to Build Your Data Analytics Team
An article about how to structure your data team according to the size of your organization and its data maturity.
Andreas Kretz wrote an awesome open-source new book about "What do you actually need to learn to become an awesome data engineer?".
Podcast: Making Sense of Data Engineering Acronyms and Buzzwords
A podcast with Airbyte's very own Natalie Kwong about the vocabulary used in data engineering.
Liberate Your Data
