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What does the document contain?

1
High-performance caching mechanisms were implemented
2
Data pipelines were optimized for sub-second response times
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A scalable and resilient architecture was designed
4
Significant cost savings were achieved through resource optimization
Dnata Case Study

"The Aliz team showed outstanding professionalism during the project, making our collaboration with Google successful. Thanks to the solution on Google Cloud, we overcame slow response times, yielded 30% saving, achieved sub-1s search latency, flexible caching, seamless scalability, and real-time data insights. We are now considering continuing this journey, with Google Cloud-based AI solutions."

Paul Farrington
Cloud Architect, dnata Travel
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