Race to Real-Time: Low-Latency Streaming ETL With Next-Gen OLTP-DB
Overview
Experience | In Person |
---|---|
Type | Lightning Talk |
Track | Data Engineering and Streaming |
Industry | Media and Entertainment |
Technologies | Apache Spark |
Skill Level | Intermediate |
Duration | 20 min |
In today’s digital economy, real-time insights and rapid responsiveness are paramount to delivering exceptional user experiences and lowering TCO. In this session, discover a pioneering approach that leverages a low-latency streaming ETL pipeline built with Apache Spark™ Structured Streaming and a next-gen OLTP-DB solution. Validated in a live customer scenario, this architecture achieves sub-2 second end-to-end latency by seamlessly ingesting streaming data from Kinesis and merging it into OLTP-DB. This breakthrough not only enhances performance and scalability but also provides a replicable blueprint for transforming data pipelines across various verticals. Join us as we delve into the advanced optimization techniques and best practices that underpin this innovation, demonstrating how Databricks next-generation solutions can revolutionize real-time data processing and unlock a myriad of new use cases in data landscape.
Session Speakers
Irfan Elahi
/Specialist Solutions Architect
Databricks