Airflow in Action: ETL Insights from Bloomberg — Slashing Runtimes by 50%
- M Matthew Keep
Learn why Bloomberg selected Airflow over Dagster and Prefect, reducing the ETL of 50 million loans and 5 billion data points by 50%
The latest insights from our team of Apache Airflow® experts.
Learn why Bloomberg selected Airflow over Dagster and Prefect, reducing the ETL of 50 million loans and 5 billion data points by 50%
Discover how Burns & McDonnell scaled data delivery from ad-hoc workflows to a unified platform using Apache Airflow, providing reliable data in under 24 hours.
Today, we’re excited to announce Astro Observe, which brings new and more robust data observability capabilities to users on Astro, OSS Airflow, Amazon Managed Workflows for Apache Airflow (MWAA), and Google Cloud Composer (GCC).
Introducing a unified approach to orchestrating dbt and Airflow with Astro
We are excited to announce the new release of the Astro Platform, introducing exciting new features designed to enhance your data orchestration experience.
Discover the intricacies of Airflow trigger rules with visual examples and practical applications. Learn how to define and use various trigger rules to optimize your DAGs efficiently in Airflow. Essential reading for Airflow users working with version 2.9.2.
We are thrilled to announce that Astronomer is officially taking over Adam Boscarino’s DAG Factory, an open source project that allows DAGs to be generated from YAML files.
We are thrilled to introduce Cohort 3 of our Champions Program for Apache Airflow! Launched at the start of 2024, our diverse and experienced champions have paved the way for this latest group to make a lasting impact on the Apache Airflow® community.
Join Astronomer in a comprehensive review of Airflow 2.9's capabilities across 29 days. Discover significant updates from dynamic data scheduling to advanced task management, and see how they can enhance your data engineering strategies.
One of the biggest questions we get asked when discussing data orchestration for GenAI is how to get started. That is what our new GenAI Cookbook is designed to answer.
This podcast is specially designed for the Apache Airflow® community and aims to share invaluable insights, useful tips, and engaging discussions about the current and future trends of Airflow.
Explore how Grindr saved $600,000 on Snowflake costs with SnowPatrol. Learn about leveraging machine learning for anomaly detection and cost management in Snowflake with Airflow, including practical insights on monitoring, tagging, and remediation strategies for optimal cost efficiency.
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