Google Cloud Digital LeaderDigital transformation with Google CloudMedium
A global automotive manufacturer is looking to digitally transform its supply chain operations. They aim to achieve real-time visibility into parts inventory across multiple factories and distribution centers worldwide, optimize logistics, and predict potential disruptions. Which Google Cloud solution combination would best support this initiative?
- ACloud Storage and Cloud Functions
- BBigQuery, Dataflow, and Looker
- CCloud SQL and App Engine
- DCloud CDN and Cloud Load Balancing
Show answer & explanationAnswer & explanation
Correct answer: B. BigQuery, Dataflow, and Looker
BigQuery provides scalable data warehousing for massive datasets, Dataflow enables real-time data processing from various sources, and Looker offers powerful business intelligence and visualization for real-time visibility and predictive analytics, making this combination ideal for complex supply chain optimization.
Why the other options are wrong
- A. Cloud Storage stores data, and Cloud Functions executes small code snippets; this is not a comprehensive analytics solution.
- C. Cloud SQL is a relational database, and App Engine hosts web applications; this is not primarily for large-scale analytics and BI.
- D. Cloud CDN and Cloud Load Balancing are for content delivery and traffic management, not data analytics or supply chain optimization.
BigQuery, Dataflow, Looker for Analytics
A powerful combination of Google Cloud services for large-scale data processing, warehousing, and business intelligence.
- BigQuery: Serverless, highly scalable data warehouse.
- Dataflow: Unified streaming and batch data processing service.
- Looker: Business intelligence platform for data exploration and visualization.
Memory trick: Big data flows to big insights with Looker's eyes.