Q&A – How Data Processing Pipelines Accelerate Loan Origination

This post details how Mr. Cooper, a mortgage company, has adopted a streaming-first approach to accelerate loan origination and improve customer experience. They leverage Apache Kafka as their central nervous system for real-time eventing, using Kafka Streams and ksqlDB for stream processing, including real-time change comparison and delta calculation. The company has over 300 services in production and nearly 100 connectors. They also discuss their multicloud strategy, migrating from Azure to GCP using Confluent's Cluster Linking and Schema Linking for seamless data migration without downtime. The post emphasizes the importance of a mindset shift towards real-time data processing and recommends identifying high-impact use cases to drive adoption.