The foundation: Why Temporal for a data pipeline?

This post introduces the use of Temporal Standalone Activities to initiate a data pipeline triggered by a Pub/Sub event. It details the architecture for processing CSV files containing customer complaints, including PII scanning, classification, redaction, and semantic search. The post justifies the use of Temporal by mapping functional and non-functional requirements (resilience, consistency, availability, observability) to Temporal's features like Durable Execution and the Event History. It also provides a high-level architecture overview and a sample Workflow code snippet.