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What does the document contain?

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Building a data system to handle concurrency, parallelism, and spikes in data ingestion for a data-driven company
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Guaranteeing the accuracy and consistency of data in a large-scale big data analytics system
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Unlocking more accurate comparisons and trend analysis to provide a stable, valid source for all data consumers at Dagrofa
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Reducing data management costs by up to 35% through optimizing data ingestion and processing workflows
Dagrofa 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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