The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI
AstronomerWelcome to The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI— the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward. Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workflow management system to meet the ever-... more
| Publishes | Weekly | Episodes | 83 | Founded | 8 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
Clean financial reporting depends on orchestration that catches issues early, prevents bad data from spreading and helps teams react fast when something breaks.
In this episode, Ayush Pradhan, Senior Analytics Engineer at Snowflake, joins us to expl... more
The integration of data orchestration and machine learning is critical to operational efficiency in healthcare tech. Vivian Health leverages Airflow to power both its ETL pipelines and ML workflows while maintaining strict compliance standards.
Max ... more
The evolution of Intercom’s data infrastructure reveals how a well-built orchestration system can scale to serve global needs. With thousands of DAGs powering analytics, AI and customer operations, the team’s approach combines technical depth with or... more
Building scalable, reproducible workflows for scientific computing often requires bridging the gap between research flexibility and enterprise reliability.
In this episode, Anja MacKenzie, Expert for Cheminformatics at Covestro, explains how her tea... more
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- Great way to learn about what data teams are doing in 2024
[disclaimer: review from former podcast host that has since been replaced by much better voices!]
If you’re wondering why a data platform and team is important to everyone - from the World Series champion Texas Rangers to worldwide casinos like Wynn to financial services companies - look no further. The techniques
Apple Podcasts5Pqdthorne
United States2 years ago - Amazing!
Loved the show, it helped me wrap my head around most of Airflow’s concepts and how to use different constructs correctly.
The people invited were top quality and very involved in Airflow development and usage.
Apple Podcasts5JeanPieroHM
Germany6 years ago - Helped me a lot as I began exploring Airflow
I had kept hearing folks talk about airflow, and stumbled across the astronomer podcast as I began trying to learn more. I’ve been quite impressed so far, and am hoping to add airflow to my toolkit
Apple Podcasts5ascloydUnited States7 years ago - Use cases
Very helpful to hear how industry leaders are using Airflow!
Apple Podcasts5WrecklessshivUnited States8 years ago - Great primer for Data Engineering
If you're new to the field and want to learn techniques, tools, and best practices, this is a great place to start.
Apple Podcasts5AppmagnetUnited States8 years ago
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Apple Podcasts | #214 |  Ireland/Technology |
Apple Podcasts | #222 |  India/Technology |
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Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
Focused on the intricate world of data engineering, this podcast offers insights into the various aspects of Apache Airflow, emphasizing its application in modern data workflows. Episodes feature discussions with thought leaders who explore the latest innovations and best practices in leveraging Airflow for managing complex data systems and enhancing AI capabilities. Listeners can expect to learn about real-world case studies, technical challenges, and the evolving role of data engineering in industries ranging from technology to pharmaceuticals.
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this podcast launched 8 years ago and published 83 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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What guests have appeared on this podcast?
Recent guests on this podcast include:
1. András Gombosi
2. Paul Vickers
3. Anja Mackenzie
4. Shankar Mahindar
5. Naseem Shah
6. Kunal Bhattacharya
7. Collin McNulty
8. Evgenii Prusov
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