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27: Building Open Source Data Startup with Airbyte CEO, Michel Tricot
Manage episode 304376521 series 2550866
We talk with Michel Tricot, who is the Founder and CEO of Airbyte, which is an open source data integration Y Combinator startup. It has raised over $30M in capital and has been growing quite fast. It was a great conversation and I think you will also enjoy it. 🎉
We cover lots of things in the podcast including:
1. Technical aspects of what Airbyte does, how it sits in the ETL/ ELT landscape, how it differs from other tools such as Fivetran, Stich etc.
2. Data Warehouses being a canonical source of data and how Airbyte helps with bringing the data into the warehouse.
3. How Airbyte works as an open source data tool.
4. Life aspects of running a fast growing start-up including raising capital, hiring etc.
Links to the tools/ services mentioned:
1. Airbyte: airbyte.io
2. Airbyte Slack where you can talk with the team: slack.airbyte.io
3. Dbt for transformation in ELT: getdbt.com
4. Airflow which is a data orchestration tool: https://airflow.apache.org/
5. Astronomer which can host Airflow: https://astronomer.io/
Pay as you use data warehouses:
6. Snowflake Data Warehouse: https://www.snowflake.com/
7. BigQuery Data Warehouse: https://cloud.google.com/bigquery
Set up your own infrastructure:
8. Redshift Data Warehouse: https://aws.amazon.com/redshift/
--- Send in a voice message: https://podcasters.spotify.com/pod/show/the-data-life-podcast/message Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support27 episodi
Manage episode 304376521 series 2550866
We talk with Michel Tricot, who is the Founder and CEO of Airbyte, which is an open source data integration Y Combinator startup. It has raised over $30M in capital and has been growing quite fast. It was a great conversation and I think you will also enjoy it. 🎉
We cover lots of things in the podcast including:
1. Technical aspects of what Airbyte does, how it sits in the ETL/ ELT landscape, how it differs from other tools such as Fivetran, Stich etc.
2. Data Warehouses being a canonical source of data and how Airbyte helps with bringing the data into the warehouse.
3. How Airbyte works as an open source data tool.
4. Life aspects of running a fast growing start-up including raising capital, hiring etc.
Links to the tools/ services mentioned:
1. Airbyte: airbyte.io
2. Airbyte Slack where you can talk with the team: slack.airbyte.io
3. Dbt for transformation in ELT: getdbt.com
4. Airflow which is a data orchestration tool: https://airflow.apache.org/
5. Astronomer which can host Airflow: https://astronomer.io/
Pay as you use data warehouses:
6. Snowflake Data Warehouse: https://www.snowflake.com/
7. BigQuery Data Warehouse: https://cloud.google.com/bigquery
Set up your own infrastructure:
8. Redshift Data Warehouse: https://aws.amazon.com/redshift/
--- Send in a voice message: https://podcasters.spotify.com/pod/show/the-data-life-podcast/message Support this podcast: https://podcasters.spotify.com/pod/show/the-data-life-podcast/support27 episodi
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