Session

Stream into the Future: Mastering Stream processing for All Workloads

Overview

ExperienceIn Person
TrackData Engineering & Streaming
IndustryEnterprise Technology, Travel & Hospitality, Financial Services
TechnologiesLakeflow, Lakebase
Skill LevelBeginner

The data world isn't slowing down—it’s streaming faster than ever. And if you're still thinking batch-first, it's time to flip the script.Join us for an overview of new features in Apache Spark™ Structured Streaming. Learn how it is enabling AI workloads for Cursor, machine learning workflows in Coinbase, and complex real-time requirements of MakeMyTrip.If you are an advanced user, this session is for you: we will showcase advanced features like real-time mode, transform with state, and streaming from hybrid sources. If you like simplicity, this session is also for you: you will discover how Spark Declarative Pipelines’s constructs can simplify stream processing.

Session Speakers

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Indrajit Roy

/Director of Engineering
Databricks

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Navneeth Nair

/Sr. PM
Databricks