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Keeping the Uber platform reliable and real-time across our global markets is a 24/7 business. People may be going to sleep in San Francisco, but in Paris they’re getting ready for work, requesting rides from Uber driver-partners. At that same …
The post DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake appeared first on Uber Engineering Blog.
Uber is committed to delivering safer and more reliable transportation across our global markets. To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks…
The post Uber’s Big Data Platform: 100+ Petabytes with Minute Latency appeared first on Uber Engineering Blog.