Session

A Comprehensive Guide to Streaming on the Data Intelligence Platform

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Overview

Tuesday

June 10

10:20 am

ExperienceIn Person
TypeBreakout
TrackData Engineering and Streaming
IndustryEnergy and Utilities, Manufacturing, Retail and CPG - Food
TechnologiesApache Spark, DLT
Skill LevelIntermediate
Duration40 min

This session is repeated.Is stream processing the future? We think so — and we’re building it with you using the latest capabilities in Apache Spark™ Structured Streaming. If you're a power user, this session is for you: we’ll demo new advanced features, from state transformations to real-time mode. If you prefer simplicity, this session is also for you: we’ll show how Lakeflow Declarative Pipelines simplifies managing streaming pipelines. And if you’re somewhere in between, we’ve got you covered — we’ll explain when to use your own streaming jobs versus Lakeflow Declarative Pipelines.

Session Speakers

Indrajit Roy

/Director of Engineering
Databricks

Ray Zhu

/Director, Product Management
Databricks