The Evolution of Data Processing: From Batch to Stream

This chapter explores the transition from traditional batch ETL methods to modern real-time streaming data practices, highlighting their increasing significance in various industries such as finance and healthcare. The speaker shares personal experiences and challenges in building robust data analytics solutions while emphasizing the need for reliable data pipelines. Additionally, the discussion touches on the role of generative AI and Change Data Capture in enhancing business intelligence and revenue-generating workflows.