Building Real-Time Trading Dashboards With DLT and Databricks Apps
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Financial Services |
Technologies | Apache Spark, DLT, Databricks Apps |
Skill Level | Intermediate |
Duration | 40 min |
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 ssession will demonstrate how the power of DLT 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 our 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.
Session Speakers
Matt Slack
/Senior Specialist Solution Architect
Databricks
Matthew Moorcroft
/Specialist Solutions Architect
Databricks