Mastering Real-Time Data: Rahul Chaturvedi's Strategies for Building Reliable Data Platforms | HackerNoon
Briefly

from Hackernoon1 year ago
Rahul Chaturvedi, a Staff Software Engineer at Uber Technologies Inc., exemplifies the innovative problem-solvers required in handling the challenges posed by big data and cloud infrastructure.
Hackernoonhttps://hackernoon.com/mastering-real-time-data-rahul-chaturvedis-strategies-for-building-reliable-data-platforms
Chaturvedi's expertise in big data and cloud infrastructure, gained through years of experience and academic achievements, has been pivotal in addressing complex data challenges in the tech industry.
Hackernoonhttps://hackernoon.com/mastering-real-time-data-rahul-chaturvedis-strategies-for-building-reliable-data-platforms
Chaturvedi's role at Uber involves optimizing one of the largest Kafka deployments globally, handling trillions of messages and petabytes of data daily, paving the way for efficient real-time data processing and scalable AI ecosystems.
Hackernoonhttps://hackernoon.com/mastering-real-time-data-rahul-chaturvedis-strategies-for-building-reliable-data-platforms
Uber's data ecosystem, with trillions of messages and petabytes of data generated daily from various sources like ride requests and driver locations, underlines the monumental scale of the challenges Rahul Chaturvedi is tackling.
Hackernoonhttps://hackernoon.com/mastering-real-time-data-rahul-chaturvedis-strategies-for-building-reliable-data-platforms
Read at Hackernoon
#big-data #machine-learning #cloud-infrastructure #data-processing #real-time-data
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