Learn how to use a data integration tool (Airbyte) and a data transformation tool (dbt) to create a single customer view on a data warehouse (BigQuery).

Using the Airbyte GitHub connector and Metabase, we can create insightful dashboards for GitHub projects.

Build a Slack activity dashboard quickly using the Slack Airbyte connector and Apache Superset.

Create a seamless and efficient data pipeline for e-commerce analytics. Dive into the practical implementation of a data workflow using Airbyte, dbt, Dagster, and Google BigQuery.

Set up Postgres CDC (Change Data Capture) in minutes using Airbyte, leveraging Debezium to build a near real-time EL(T).

Learn how to detect data quality issues on your Airbyte syncs with re_data.

Learn how to visualize how much time your team is spending in Zoom calls with the Airbyte Zoom connector and Tableau.

Learn how to bypass Slack's message history restriction and access all of your messages, even if you aren't on a paid Slack plan.

Learn how to create a dbt package to analyze Github data extracted with Airbyte.

Learn how to move all your data to a data lake and connect your data lake with the Dremio lakehouse platform.

Learn how to move your data to a data warehouse with Airbyte, model it, and build a self-service layer with Whaly’s BI platform.

Learn how to set up Oracle database replication with our comprehensive step-by-step guide. Additionally, discover the best tools for efficient replication.