Hey all, I just interviewed @Michel in my podcast - The Analytics Show. I would highly recommend it if you want to get inside his brain and understand where the future lies for data integration. In this exclusive episode, Michel offers a detailed account of the story behind Airbyte’s success & how Airbyte makes data integration much easier for businesses. - How Michel built his career as a software engineer & used it as a foundation to start his own company - Creating a product that’s not only a good-to-have but a need-to-have - How to outreach potential customers to survey their needs & use the interviews for product improvement - The ingenious idea of using the same outreach contacts to test out the MVP - The importance of community building for constant improvement & business growth - Why do you need external & internal data integrations to grow your business - How Airbyte makes integrating external & internal data sources much easier Connector to the full interview can be found at: https://pod.link/analyticsshow

an amazing book I've read recently is "*The Culture Map*" (Amazon link). At Airbyte, we're building a remote-first company, so understanding the cultural differences from a professional standpoint is very interesting. Here's a summary of it: https://blog.12min.com/the-culture-map-pdf/

Thanks for joining in!

an open-source Airtable alternative: https://github.com/nocodb/nocodb

Enjoyed reading this over the last week, very densely packed with lessons learnt from building tech companies through high growth. Also very funny at times. https://www.goodreads.com/book/show/18176747-the-hard-thing-about-hard-things

an interesting article about building data platforms from the perspective of ETL https://medium.com/codex/building-data-platforms-the-etl-bias-d589733ce4cc

One of the most thoughtful reads on the future of the data space 👌 https://link.medium.com/zdHi9qH83gb Thank you so much @Sven Ba for sharing those thoughts!! Do agree with LOTS of them :)

a guide on how to become an analytics engineer, if you're a data analyst today https://tuanchris.medium.com/become-an-analytics-engineer-in-90-days-759659d22ffd thanks @Tuan Nguyen for the article!!

our awesome @s and @Davin Chia (Airbyte) wrote an article about why data integration needs open source to address the long tail of integrations, with a few words on our CDK! if you're building a connector, don't hesitate to reach out to them on #C01VDDEGL7M https://www.dataversity.net/why-etl-needs-open-source-to-address-the-long-tail-of-integrations/

the 2nd part of the article about why you shouldn't write Airflow DAGs, about a framework can help you solve some of the problems related to DAG writing. https://towardsdatascience.com/data-engineers-shouldnt-write-airflow-dags-part-2-8dee642493fb

Airbyte gets a callout in first paragraph. Not sure we needed the “analytics engineer” title but the article overall is quite good. https://medium.com/validio/dbt-and-the-analytics-engineer-whats-the-hype-about-907eb86c4938

https://meltano.com/blog/2021/06/30/meltano-spins-out-of-gitlab-raises-seed-round/ meltano spins out of gitlab!

interesting article by Rudderstack on the future of data engineering https://rudderstack.medium.com/the-future-of-data-engineering-115f0772c9b6 a few points: • coming rise of chief data officers • data becomes important in every single development team (goes hand in hand with the data mesh concept) • data integration will become commoditized (that's us!!)

ML on shopify data powered by Airbyte! https://medium.com/mindsdb/machine-learning-for-a-shopify-store-a-step-by-step-guide-fb5955dc0f8a

big fan of dbt, I wanted to share Tristan's article for the Series-C announcement, which I find great and super interesting! especially his perspective over the platform war to come! https://blog.getdbt.com/of-the-community-by-the-community-for-the-community/

https://docs.temporal.io/blog/docs-info-arch-2021/ Good article from Temporal on use-case oriented docs structure

Great demo! Do anyone have the link to the github repo?

Deploy and Secure Airbyte using Nginx, Lets Encrypt & Basic Authentication : https://shadabshaukat.medium.com/deploy-and-secure-airbyte-with-nginx-reverse-proxy-basic-authentication-lets-encrypt-ssl-72bee223a4d9

Good analysis on DBT adoption and the role of Analytic Engineers - https://semistructured.substack.com/p/dbt-analytics-engineering-or-data-engineering

Great read on rise of recent data startups and growth levers for tangential movement across personas - https://leighmariebraswell.substack.com/p/the-one-data-platform-to-rule-them

a good ol' fashion tut for the people who are sitting on the edges and waiting to jump in 🌊 https://trevorfox.com/2021/08/setting-up-airbyte-etl-minimum-viable-data-stack/

Just wanted to share a piece I wrote on data OS, the "unbundling of BI" and why we also need an open standard for BI, as a response to Benn Stancil's latest post. Would love to get your view on it: https://jpmonteiro.substack.com/p/a-friday-fight-and-the-internet-of

I created a video on the basics of connector development if anyone has been interested in creating an HTTP API Source 🙂

Just wrote a piece on self-service, data democratization and (natural) language. I believe Data Democratization is fundamentally about bridging the gap between our language and the language of data. Therefore, technologies like GPT-3 may bring a fresh new paradigm for data products, including how to understand how business users are using the data product and what they are looking for. @Zach Brak thought you might find it interesting after your comments last time https://jpmonteiro.substack.com/p/on-self-service-data-democratization

thanks 🙏 @Seattle Data Guy ! as you know we're big fans, so it really made my day to have an article from you 🙂 https://seattledataguy.substack.com/p/airbyte-is-open-source-the-way-forward?token=eyJ1c2V[…]YWN0aW9uIn0.NFbArYGMaUoyzhtfIrkdcYr9st2cblzD05KhS7nv0hE

Estuary is building their open-source connector repository on top of Airbyte 🙂 https://www.estuary.dev/introducing-estuarys-open-source-connector-repository/

any good reads on concepts for data integration? I recently started a new job where I'm the first member for the data integrations team and want to be caught up so I can recommend products like airbyte with more authenticity and understanding