Using Google BigQuery and Metabase to understand product usage

We set up a data warehouse using Google BigQuery to store and manage product usage data from an OLTP database like MySQL or Postgres. To create reports and dashboards that help stakeholders understand user behavior, we built a data pipeline that extracts, loads, and transforms (ELT) the data into a structured format. We used Metabase as our reporting tool because it offers an open-source edition and is easy to use for both non-technical users and SQL experts. The pipeline was deployed to load data incrementally, with some tables updated daily and others fully loaded each time the pipeline runs. This setup allows us to create a user-centric product using data-driven insights, even without a dedicated data team.

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