Barclays Post Trade real-time trade monitoring platform was historically built on a complex set of legacy technologies including Java, Solace, and custom micro-services.This session will demonstrate how the power of Lakeflow Declarative Pipelines' new real-time mode, in conjunction with the foreach_batch_sink, can enable simple, cost-effective streaming pipelines that can load high volumes of data into Databricks new Serverless OLTP database with very low latency.Once in our OLTP database, this can be used to update real-time trading dashboards, securely hosted in Databricks Apps, with the latest stock trades - enabling better, more responsive decision-making and alerting.The session will walk-through the architecture, and demonstrate how simple it is to create and manage the pipelines and apps within the Databricks environment.
talk-data.com
Speaker
Matt Slack
1
talks
Matt Slack is a Senior Specialist Solutions Architect at Databricks, specialising in helping customers solve their data engineering and geospatial challenges, and building out their modern data platforms. He has a strong background in low latency streaming pipelines at scale, creating innovative solutions with Databricks and other technologies. Previously he has led on the build and architecture of multiple cloud data platforms across a range of industries, including Finance, Transportation and E-commerce. Matt has a Bachelor's in Computer Science from the University of York.
Bio from: Data + AI Summit 2025
Filter by Event / Source
Talks & appearances
Showing 1 of 1 activities