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Astronomer

Blue Square
location2116

Sponsored Sessions

  • Introductory
    Theater Session
    Technical Executive
    Business Executive
    Data Engineer
    MLOps
    Data Engineering & Streaming
    1:00pm - 2:00pm
    Not industry-specific
    2854
    Open Source & Research
    Observability
    Data Engineering & Pipelines
    Governance
    Other
    No
    Mon, Jun 2
    All Days
    Theaters are first come, first seated
    Not department-specific
    IT
    R&D
    Other (Industry-A)
    Data Engineering & Streaming (Topic)
    DevOps & Observability (Topic)
    Governance, Privacy & Security (Topic)
    Open Source & Research (Topic)
    Business Executive (Role)
    Data Engineer (Role)
    Technical Executive (Role)
    General Theaters
    1:00 p.m. Monday, Jun 02
    Monday, Jun 02

    Today's data teams are evolving beyond pipeline builders to become strategic business enablers. This fundamental shift requires embracing principles that transformed software engineering — agile methodologies, CI/CD practices and infrastructure-as-code — and are now making their way into data workflows as DataOps.

    This session explores essential strategies for building resilient, high-impact data operations. We'll dive into team structures that foster collaboration, testing frameworks that ensure reliability, automation approaches that eliminate toil, and modern orchestration tools that scale with growing demands.

  • Intermediate
    Breakout Session
    Technical Executive
    Data Scientist
    Data Engineer
    MLOps
    Data Engineering & Streaming
    3:00pm - 4:00pm
    Not industry-specific
    2855
    Performance & Optimization
    Open Source & Research
    Observability
    Machine Learning
    MLOps
    Data Engineering & Pipelines
    AI & GenAI
    Other
    No
    Tue, Jun 3
    All Days
    Not department-specific
    IT
    R&D
    Other (Industry-A)
    AI & GenAI (Topic)
    Data Engineering & Streaming (Topic)
    DevOps & Observability (Topic)
    Machine Learning (Topic)
    Open Source & Research (Topic)
    Optimizing & Operating Snowflake (Topic)
    Data Engineer (Role)
    Data Scientist (Role)
    Technical Executive (Role)
    OnDemand
    3:00 p.m. Tuesday, Jun 03
    Tuesday, Jun 03

    Airflow 3 transforms data orchestration with three game-changing capabilities:

    • Intuitive experience: Revamped UI, DAG versioning and integrated backfills streamline pipeline management
    • Enterprise security: Task isolation architecture eliminates direct database connections, reducing exposure risks
    • Boundless flexibility: Execute tasks anywhere — from edge to hybrid-cloud to GPU workloads — with remote execution

    Discover how these innovations are already revolutionizing how forward-thinking teams operationalize mission-critical data workflows.

     

     

    • Speakers

    Headshot of Kenten Danas

    Kenten Danas

    Manager, Developer Relations

    Astronomer

    Kenten manages the Developer Relations team at Astronomer and has a background in field engineering, data engineering, and consulting. She has first-hand experience adopting and running Airflow as a consultant, and is passionate about helping other data engineers scale and get the most out of their orchestration experience. When she isn't working with data she's typically outside trail running or skiing.

    Headshot of Steven Hillion

    Steven Hillion

    SVP, Data and AI

    Astronomer

    Steven Hillion has been leading engineering and analytics teams for twenty years. He is currently Head of Data at Astronomer, the New York-based company behind Apache Airflow, the popular open-source data orchestration platform. Previously, he founded Alpine Data, a collaborative data science platform later acquired by TIBCO. Before that he built a global data science team at Pivotal and developed a suite of open-source and enterprise software in machine learning. Earlier, he led engineering at several successful start-ups. Originally from Guernsey, Steven now lives in San Francisco. He holds a Ph.D. in Mathematics from UC Berkeley, and read mathematics at Oxford University.