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Astronomer

Astronomer

软件开发

New York,NY 41,703 位关注者

Astronomer empowers data teams to bring mission-critical analytics, AI, and software to life.

关于我们

Astronomer empowers data teams to bring mission-critical analytics, AI, and software to life and is the company behind Astro, the industry-leading DataOps platform powered by Apache Airflow?. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world’s leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io Apache? and Apache Airflow? are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.

网站
https://www.astronomer.io
所属行业
软件开发
规模
201-500 人
总部
New York,NY
类型
私人持股
创立
2018

产品

地点

Astronomer员工

动态

  • 查看Astronomer的组织主页

    41,703 位关注者

    Manual dataset updates just got a whole lot easier. Andrea Bombino, Co-Founder and Head of Analytics Engineering at Astrafy, discusses how new features in Apache Airflow’s UI are improving the way datasets are updated and scheduled. We speak about how this change saves time and makes triggering DAGs more efficient, providing better data availability for clients and downstream applications. Learn more about this episode by clicking the link in the comments. #AI #Automation #Airflow #MachineLearning

  • Astronomer转发了

    查看Sushanth Reddy的档案

    Gen AI Enthusiast | Driving Innovation in AI-Powered Solutions

    I always thought of having agentic workflows integrated into Airflow — and now it’s finally here! #ariflow #agentic

    查看Marc Lamberti的档案

    Head of Customer Education @Astronomer | Best Selling Instructor @Udemy

    The Airflow AI SDK is OUT ?? Call LLMs and Orchestrate Agents directly in Airflow ?? Astronomer just open-sourced three NEW decorators: ?? @task.llm: Define a task that calls an LLM ?? @task.agent: Define a task that calls an agent ?? @task.llm_branch: Control flow of a DAG based on LLM outputs. That's not all! The repo comes with 5 DAG examples: 1?? Deep research: Use duckdb to generate a research report 2?? Email generation: Generates personalized email prospects 3?? Github changelog: Summarize the commits to the Airflow project 4?? Product Feedback Summarization: The project's name says it all 5?? Support Ticket Routing: Routes support tickets to the correct department Link to the repo: github[.]com[/]astronomer[/]airflow-ai-sdk Free, open-source, and a great way to discover how to use AI and create your own decorators in Airflow. Enjoy ?? #airflow #apacheairflow #dataengineer #dataengineering

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  • 查看Astronomer的组织主页

    41,703 位关注者

    When orchestration fails, pipelines stall, teams scramble and businesses feel the impact instantly. The orchestration layer isn’t just a support tool anymore — it’s mission-critical infrastructure. In this episode of “The Data Flowcast: Mastering Airflow for Data Engineering & AI,” Andy Byron at Astronomer breaks down how Airflow has evolved into the connective tissue of the modern data stack. He shares how Astronomer is scaling enterprise workflows with observability, lineage and cost control — and why a unified DataOps layer is the next big shift in data engineering. Watch the episode linked in the comments for more. #AI #Automation #Airflow #MachineLearning

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  • 查看Astronomer的组织主页

    41,703 位关注者

    Astro has always made alerts on Airflow easier - no DAG edits or duct-taping together third-party tools. Now, they’re even more powerful. With Enhanced Alerting, you can create one rule and apply it across DAGs and tasks. ?? Pattern-based matching ?? Reusable rules ?? Alerts API for automation ?? New support for Atlassian's OpsGenie + continued support for Slack, PagerDuty, and email Less setup. More scale. Same Astro simplicity. ?? Read the blog: https://lnkd.in/gcsJ-Dwh

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  • 查看Astronomer的组织主页

    41,703 位关注者

    ?? You recognize the value your business could get from AI, but once you start chasing it, the complexity stalls the entire project without delivering any value. ?? Sound familiar? The truth is that a LOT of AI use cases do not need agents talking to agents – they need reliable LLM workflows that solve real business problems. That's why today we are introducing the AI SDK for Apache Airflow, distilling battle-tested patterns that have helped companies achieve transformative results while keeping things simple. Read more in today's blog post by Julian LaNeve, CTO at Astronomer. Also, check out the GitHub repository and sign up for our Meetup with Ramp in NYC where we’ll be discussing all of this, both linked in the first comment below. https://lnkd.in/g8ND4uFh #AgenticAI #DataOrchestration #ApacheAirflow #DataOps

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  • 查看Astronomer的组织主页

    41,703 位关注者

    ???? Astronomer Roadshow: Exploring Apache Airflow 3 is coming to London! Join us for this launch event celebrating the most transformative release in Airflow’s history. Get an inside look at some of Airflow 3's most exciting features, including: ?? DAG Versioning ?? Reimagined modern UI ?? Native backfill management ???? Improved support for AI, ML & real-time workloads RSVP now – limited spots available! https://bit.ly/427iHYR #Airflow3

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  • 查看Astronomer的组织主页

    41,703 位关注者

    ?? Did you miss the first round of the Airflow Summit 2025 CFP? Don't fret! New this year, there is a second round of the CFP that opens on April 15. This second round provides additional time for preparing your submissions, especially for Apache Airflow community members that are currently focused on the upcoming launch of #Airflow3. The second round of the CFP will close on May 31 and any first round proposals that aren't initially selected are allowed to resubmit in the second round. ?? Mark your calendar: https://bit.ly/4dYbzBB

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  • 查看Astronomer的组织主页

    41,703 位关注者

    What does it mean to truly put the customer first in marketing? Vasyl Vasyuta from Optimove explains how his team uses advanced data processing and machine learning to craft personalized customer journeys that drive meaningful engagement and results. He explains why focusing on customer behavior and preferences is a key to unlocking the full potential of marketing. The link to the episode is in the comments. #AI #Automation #Airflow #MachineLearning

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