The Astronomer Blog: Data Orchestration Insights & Guides

July 17, 2018

Announcing Astronomer v0.3

Find out more about Astronomer v0.3 and its great benefits. Get to know what features are included in the newly released next-generation data platform.

March 13, 2018

Announcing the Astronomer Platform, a Managed Service for Apache Airflow®

Learn about the benefits of the Astronomer’s Managed Service for Apache Airflow®. See why our experts decided to design and build the Astronomer Platform.

February 26, 2018

Announcing Astronomer SpaceCamp

Discover Astronomer SpaceCamp and see how it gets data teams up and running with Airflow in no time. See the benefits of different SpaceCamp versions.

February 6, 2018

Announcing The Airflow Podcast

Learn about Astronomer's podcast focused on the future potential of Apache Airflow®, as seen by top players in the data engineering space.

January 29, 2018

An Airflow Story: Cleaning and Visualizing Our Github Data

Check out instructions on importing and moving Github data using Apache Airflow®. See how to deal with Github DAG writing, visualization, and dashboarding.

January 25, 2018

Improving Government Services With Apache Airflow®: a Q&A With San Diego’s Chief Data Officer

Hear from Maksim Pecherskiy–Chief Data Officer of the City of San Diego–about how Apache Airflow® helps operationalize data in the public sector.

October 24, 2017

From Behavioral Analytics to Data Science With Astronomer

Find out how to scale behavioral analytics with Apache Airflow®. See why the Astronomer Platform is an ideal solution for data scientists and analysts.

October 10, 2017

Using Apache Airflow® to Create Data Infrastructure in the Public Sector

Learn why ARGO chose Apache Airflow® to build and maintain data infrastructure. Find out how they transform basic public services with Airflow.

August 3, 2017

Data Format Types: CSV, JSON, & XML Demystified

Explore common data format types (CSV, JSON, XML) & understand their pros, cons, & ideal use cases. Learn how to choose the right format for your data needs.

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