How do you effectively architecture your application's data layer to handle petabytes of unstructured information without breaking your budget or compromising on retrieval latency? Furthermore, Google Cloud Storage serves as an enterprise-grade object storage service designed to store and serve data globally with high durability and security. Why does automating your data lifecycle transitions between its distinct storage classes remain a top foundational practice for optimizing cloud operational expenses?