Improving the Reliability of Market Data Subscription Feeds

Nasdaq Cloud Data Service has democratized access to financial data not only for companies but also for researchers and educators. When providing data feeds as a subscription service, there is no out of the box standard for subscribers’ Kafka client configurations or system designs. As you might imagine, ensuing optimal performance with an endless variety of clients comes with many challenges such as:

Preventing Client Side Data Loss Performance Inefficiencies Client Recovery Data Feed Discovery Schema Management In this talk we will discuss those challenges and introduce the Nasdaq Cloud Data Service SDK, an Open Source library for Kafka Consumers that tackles these issues and allows for uniform resilience, performance and operations among varied client configurations. https://github.com/Nasdaq/NasdaqCloudDataService-SDK-Java