Series: Building Airbyte’s Data Stack

The text discusses how building a data stack can be challenging, as it involves adding numerous tools and tracking where data flows through them. It then delves into the journey of Airbyte's data stack, from its initial goals to its growth with various SaaS tools. The article also outlines how Airbyte is working on improving its data architecture by consolidating tools and optimizing for internal analytics. Key points include the use of Google BigQuery as a data warehouse, Airbyte for data integration, dbt for data modeling and transformation, and Metabase for business intelligence visualization.