May 2021 Summaries

The Airflow Summit 2021, held virtually from July 8th to 16th, is expected to attract over 10,000 participants, including software engineers, data scientists, and DevOps engineers, highlighting the growing interest and relevance of Apache Airflow in data management. This community-driven event, sponsored by Astronomer along with major tech companies like Google and Amazon, offers discussions on best practices, integrations, and real-world applications of Airflow. Keynote speakers such as Ash Berlin-Taylor and Aizhamal Nurmamat kyzy will address future developments beyond Apache Airflow 2.0, while other speakers will explore topics like upgrading to Airflow 2.0 and using Airflow in machine learning pipelines. The summit offers a platform for networking and sharing insights among data enthusiasts worldwide and emphasizes the collaborative nature of the Airflow community, which continues to innovate and expand its applications across various industries.

Astronomer, the commercial developer of Apache Airflow, offers a certification program for professionals looking to validate their skills with this increasingly essential data pipeline tool. The certification, created by Marc Lamberti, Head of Customer Training at Astronomer, aims to equip data engineers with the ability to build and manage data pipelines using Airflow, thereby enhancing their career prospects. With over 3,000 registrations for both the exam and preparation course, and more than 700 successful certifications issued, the program has gained popularity among both experienced users and newcomers. The course helps participants assess their current skills, refresh their foundational knowledge, and demonstrate their proficiency to potential employers. The certification exam requires a passing score of 80% and allows for a free retake after one month if needed. Feedback has been largely positive, with participants appreciating the comprehensive preparation course and the opportunity to showcase their achievement on platforms like LinkedIn.