Orchestrating Retail-Scale Data on Google Cloud

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Digital retail never sleeps. Carts open and close at 2 a.m., promotions spike traffic without warning, and supply signals move from warehouses to web in minutes. In that environment, data pipelines are not just utilities — they are the nervous system that keeps analytics current, inventory visible, and decisions grounded in fact.

The challenge is designing pipelines that stay elastic under peak load, deliver trustworthy data consistently, and keep costs predictable. Google Cloud’s modular services — Pub/Sub for event ingestion, Dataflow for processing, BigQuery for analytics, and Cloud Composer for orchestration — provide the foundation. What matters is how they fit together into patterns that remain reliable when traffic doubles or triples overnight.

  

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