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Building and scaling a real-time data infrastructure is a complex undertaking, fraught with challenges and valuable lessons. This episode takes a deep dive into Uber's journey, exploring the hurdles they encountered while managing petabytes of real-time data. We'll discuss the need for data consistency, availability, and freshness, the complexities of handling diverse use cases and user groups, and the constant need for system evolution. Tune in to learn from Uber's experiences and gain insights into building robust and scalable real-time data infrastructures.
References: https://arxiv.org/pdf/2104.00087
By Sanket MakhijaBuilding and scaling a real-time data infrastructure is a complex undertaking, fraught with challenges and valuable lessons. This episode takes a deep dive into Uber's journey, exploring the hurdles they encountered while managing petabytes of real-time data. We'll discuss the need for data consistency, availability, and freshness, the complexities of handling diverse use cases and user groups, and the constant need for system evolution. Tune in to learn from Uber's experiences and gain insights into building robust and scalable real-time data infrastructures.
References: https://arxiv.org/pdf/2104.00087