Part 2/11:

The speaker highlighted a critical principle: before diving into tech stacks like Spark, Snowflake, or Kafka, organizations must first deeply understand their business domains. Building pipelines based solely on technological trends often leads to misaligned solutions that fail to serve actual use cases. For example, a bank's loan journey involves various stages—from application, underwriting, disbursement, to collections—and each stage generates unique data that must be mapped carefully.