The Power of Real-Time Entity Resolution with Ryan Wright

Ever wondered why duplicate records keep slipping through your data streams? This September, thatDot’s Founder and CEO Ryan Wright will be addressing this critical issue at Current.

Data inconsistencies in Kafka streams, such as misspelled company names, users registering with different email addresses, or multiple bank accounts linked to the same person, can present significant challenges. These issues not only hinder the adoption of streaming data technologies but also impact organizations across the spectrum, from major banks to small startups.

Recent advancements in open-source streaming graph tools, like thatDot’s Streaming Graph powered by Quine Open Source, have made it easier to clean and resolve data in real-time. These tools offer powerful entity resolution at scale, even as data flows in motion and potentially out of order.

Event Details

Title: Streaming Entity Resolution for Kafka with Quine

Dates: September 17 – 18, 2024

Time: Tue Sep 17, 1:30 PM – 1:40 PM CDT   (10 Min)

Register for the Event

Join us on Tuesday, September 17, from 1:30 PM to 1:40 PM CDT in Breakroom 5 for an illuminating lightning talk with Ryan Wright, as we delve into two cutting-edge approaches to real-time entity resolution using the Quine Open Source streaming graph:

1. Viewing Your Stream as a Graph: Leveraging event-triggered “standing queries” for real-time entity resolution.
2. AI-Powered Entity Resolution: Using historical stream data to enable AI-driven resolution with graph neural networks.

In both scenarios, you’ll witness how a Kafka stream filled with messy data can be transformed into a clean, entity-resolved output.

Don’t miss this opportunity to learn how to enhance your data streams and drive better insights. Stay tuned for more updates on this event.

For more details on the event and speakers, visit Current 2024 Speakers.