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Case Study

Scaling Data Engineering: A Google Cloud Platform Case Study for Craveable Brands

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Customer

Craveable Brands

Service

Data Engineering

Date

September 2018

“Sakura Sky delivered on time and within budget a Google Cloud Platform architecture that could meet our current and future needs.” — Ken Russell, Group Head of Digital Marketing, Craveable Brands

Sakura Sky is proud to have our work with Craveable Brands featured as an official Google Cloud Platform case study.

The Challenge

Craveable Brands is the franchisor for more than 570 quick-service restaurants across Red Rooster, Oporto, and Chicken Treat, serving over 150,000 customers daily. They required a modern architecture to handle massive data scales and provide real-time business insights to replace legacy silos.

The Solution: A Complete Data Ecosystem

Our Data Engineering specialists designed and implemented a comprehensive GCP architecture to unify their operations:

  • Task Scheduling & Ingestion: Leveraged Cloud Pub/Sub, Compute Engine, and App Engine for reliable scheduling, alongside Cloud Dataflow for automated, scalable ingestion.
  • ETL & Analysis: Utilized Cloud Dataprep (integrated with Trifacta) to perform complex extract, transform, and load analysis.
  • Data Warehousing: Established BigQuery as the central data warehouse to unify disparate data sources.
  • Visualization: Deployed Google Data Studio for executive dashboards and Cloud Datalab for advanced analyst collaboration.
  • Storage: Implemented Cloud Storage as a cost-effective repository for raw data backups.

The Result: Data-Driven Growth

By modernizing their data pipeline, Craveable Brands successfully optimized their internal operations and enabled new avenues for business growth through actionable data insights.

“We didn’t just build a tool; we built a safe harbor for innovation. In the enterprise, safety is what gives you the speed to win.”


Contact our team to find out how we can optimize your data pipelines and enable your business to scale.

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