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How streaming data and a lakehouse paradigm can help manage risk in volatile trading markets

Blog post from Confluent

Post Details
Company
Date Published
Author
Dan Juengst, Greg Murphy, Paul Mac Farland
Word Count
985
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

Confluent and Databricks are integrated technologies being used by capital markets and trading operations businesses to gain a real-time understanding of their current risk, informing their trading strategies. This is achieved through the use of Confluent's streaming data technology, which enriches portfolio and market data in real time and feeds it into mathematical models and simulations performed within Databricks' Lakehouse. The result is that key risk metrics can be available near real-time to traders, enabling them to make informed decisions.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 21 1,264 334 121 -6%
RAG 1 15 12 3 +88%
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