Session
Delivering Sub-Second Latency for Operational Workloads on Databricks
Overview
Experience | In Person |
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Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology, Media and Entertainment, Financial Services |
Technologies | Apache Spark, DLT |
Skill Level | Intermediate |
Duration | 40 min |
As enterprise streaming adoption accelerates, more teams are turning to real-time processing to support operational workloads that require sub-second response times. To address this need, Databricks introduced Project Lightspeed in 2022, which recently delivered Real-Time Mode in Apache Spark™ Structured Streaming. This new mode achieves consistent p99 latencies under 300ms for a wide range of stateless and stateful streaming queries. In this session, we’ll define what constitutes an operational use case, outline typical latency requirements and walk through how to meet those SLAs using Real-Time Mode in Structured Streaming.
Session Speakers
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Jerry Peng
/Staff Software Engineer
Databricks
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Karthikeyan Ramasamy
/Head of Streaming
Databricks