Using Spark, Kafka, Cassandra and Akka on Mesos for Real-Time Personalization
How to engaging customers in real-time with personalized offersView on Slideshare
The gambling industry has arguably been one of the most comprehensively affected by the internet revolution, and if an organization such as William Hill hadn't adapted successfully it would have disappeared. Watch Patrick Di Loreto, R&D Engineering lead for William Hill, deliver to nearly 1300 registrants what his company is doing to grow in a fast-paced industry where milliseconds can matter to users and real-time data analysis and reactions are the keys to competitive advantage.
In this presentation, Patrick reveals how this company, which was founded in 1934, is Going Reactive to remain a leader in the gambling industry. The company's latest innovations are very cutting edge platforms for personalization, recommendation, and big data, which are based on Akka, Scala, Play Framework, Kafka, Cassandra, Spark, and Mesos.
Watch the full, 60-minute video here:Watch on YouTube
You might also like...
Since Patrick's webinar, William Hill has launched it's new platform built with the tools listed above, testing it out with 500,000 concurrent connections at a single time (you can read the case study here). And if you’re looking to learn more about the role of Fast Data architectures and tools like Apache Spark, Akka, Cassandra, Kafka, Mesos and others, click below to check out the recent white paper by Dean Wampler, Fast Data: Big Data Evolved.