Explore popular use cases to empower your teams

Explore popular use cases to empower your teams

How to Scrape LinkedIn Profiles Using Airflow & BeautifulSoup

Learn how to easily automate your LinkedIn Scraping with Airflow and Beautiful Soup.

Set up a modern data stack with Docker

Learn how to quickly set up a modern data stack using Docker Compose with Airbyte, BigQuery, dbt, Airflow and Superset.

Orchestrate ELT pipelines with Prefect, Airbyte and dbt

Learn how to build an ELT pipeline to discover GitHub users that have contributed to the Prefect, Airbyte, and dbt repositories.

Build an EL(T) from Postgres CDC (Change Data Capture)

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

MySQL CDC: Build an ELT pipeline from MySQL Database

Easily set up MySQL CDC using Airbyte, harnessing the power of a robust tool like Debezium to construct a near real-time ELT pipeline.

Configure Airbyte Connections with Python (Dagster)

Data integration as code; Creating Airbyte sources, destinations, or connections depending on external factors.

Create and Monitor a Data Pipeline Using the Airbyte API

Learn how to export data from a Postgres table to a .CSV file in an Azure Blob Storage by using the new Airbyte API

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Optimizing error resolution with Sentry, dbt, Dagster and Snowflake

Configure an error analysis stack utilizing Sentry, Airbyte, Snowflake, dbt, and Dagster.

Building ETL Pipeline with Python, Docker, & Airbyte

Learn how to build robust ETL pipelines using Python, Docker, and Airbyte. A guide for data engineers covering setup, implementation, & best practices.

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Developer Productivity Analytics Stack With Github, Airbyte, Dbt, Dagster and BigQuery

Kickstart your developer productivity analytics with a unified data stack. From Github to BigQuery via Airbyte, with the power of Dbt and Dagster. Simplify, analyze, and optimize effortlessly.

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Github Insights Stack with Airbyte, dbt, Dagster and BigQuery

Explore the fusion of Airbyte, dbt, and GitHub API to gain deep insights into code quality, collaboration, and project vitality.

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Database snapshot to S3 then to warehouse

Build a full data stack that creates a table snapshot from a database and stores it in an Amazon S3 bucket as a JSONL file using Airbyte and then loads the snapshot file to a preferred data warehouse.