Explore a 21-minute conference talk from SQLBits that delves into the challenges and solutions of integrating streaming data into existing data warehouse environments. Learn how a team accustomed to working with relational databases and bulk loading patterns adapted to handle AMQP/MQTT interfaces and near real-time updates. Discover architecture patterns for processing business events, combining real-time analysis with long-term storage requirements, and comparing costs of PaaS building blocks with custom-built solutions. Gain insights into leveraging Azure services like Event Hubs, Streaming Analytics, and Azure Functions to modernize data ingestion and processing. Follow the journey of a small team as they transition from an on-premises Microsoft data stack to cloud-based solutions, addressing resistance, acquiring new skills, and evaluating cost implications. Uncover key takeaways and lessons learned in this comprehensive exploration of evolving data integration strategies.
Breaking Out of the Habit of Bulk Loading Everything - Lessons from Streaming Data Integration