From within our echo chamber, streaming may feel like the de facto choice for doing anything with data. But if we broaden our scope just a little bit, we realise that many people are still happily batching data in the larger data ecosystem as a whole.
This panel brings together industry experts with decades of experience building and implementing data systems—both batch and streaming. In a pragmatic look at the landscape, they'll discuss the state of streaming adoption today, if streaming will ever fully replace batch—and indeed, whether it even could (or should).
Presenter
Adi Polak
ConfluentAdi is a Director of Advocacy and DevX engineering at Confluent. She specializes in data streaming, analytics, and the new generation of AI systems. You can find her on various social media platforms @adipolak.
Presenter
Tyler Akidau
SnowflakePresenter
Amy Chen
dbt LabsAmy Chen has been a data practitioner since 2019 and is now the Partner Engineering Manager at dbt Labs. They spend most of their days working with Technology Partners and Services Partners on dbt integrations and programming. On top of that day-to-day, they still find pockets of time to contribute to the open-source community, whether through documentation or code. Outside the data world, you can see them climbing rocks, creating radical climbing festivals, or jumping on circus apparatuses.
Presenter
Eric Sammer
Decodable