Race to Real-Time: Low-Latency Streaming ETL With Next-Gen OLTP-DB
Description
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. Talk By: Irfan Elahi, Specialist Solutions Architect, Databricks Here’s more to explore: Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/data-engineering The Big Book of Data Engineering: https://www.databricks.com/…
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