The Astronomer Blog: Data Orchestration Insights & Guides

June 4, 2024

Introducing the First Generative AI Cookbook for Data Orchestration

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.

May 30, 2024

Announcing "The Data Flowcast" by Astronomer: Your Gateway to Mastering Airflow

Announcing The Data Flowcast: A podcast dedicated to all things Apache Airflow. Tune in for expert insights and trends.

May 30, 2024

SnowPatrol Series: Convert anomalies into actions, and how Grindr saved $600,000 in Snowflake costs

SnowPatrol helps Grindr save $600k in Snowflake costs. Discover how to use ML for anomaly detection and cost management.

May 29, 2024

Data Orchestration: The Dividing Line Between Generative AI Success and Failure

Learn how Apache Airflow® and Astronomer streamline data and model orchestration for Generative AI success. Explore practical use cases and a comprehensive guide.

April 8, 2024

Introducing Apache Airflow® 2.9

The Airflow 2.9 release brings significant enhancements to user-favorite features like data-aware scheduling, dynamic task mapping, and object storage.

April 2, 2024

Comprehensive Guide to Data Pipeline Testing with Airflow

An introduction to data pipeline testing strategies, best practices, and implementation techniques.

March 27, 2024

Introducing Cohort 2 of the Astronomer Champions Program for Apache Airflow®!

Our beta cohort of 10 is now joined by 23 hand-selected individuals who, we believe, truly embody what it means to champion the Apache Airflow® Project.

March 26, 2024

What’s new in the Astro Platform Release, Q1 2024

Welcome to the latest Astro Platform release — we’re thrilled to introduce enhancements aimed at bolstering governance at scale and across environments, fortifying the security of your data platform, and accelerating innovation.

March 19, 2024

Snowflake Anomaly Detection with SnowPatrol

Learn how SnowPatrol leverages machine learning and Airflow to detect anomalies in Snowflake usage, optimize costs, and improve data pipeline efficiency.

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