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by Uber Data / ML

Uber Data / MLFollow

How Uber Speeds Up Spark with Native Engines and Quanton

Making Every Core Count: In Pursuit Of Faster Apache Spark Jobs at Uber
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Uber Data / MLFollow

How Uber Made GPU Training Faster and Reproducible

Accelerating Deep Learning: How Uber Optimized Petastorm for High-Throughput and Reproducible GPU Training
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Uber Data / MLFollow

Under the Hood: Scaling Responsible AI at Uber

Under the Hood: Scaling Responsible AI at Uber
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Uber Data / MLFollow

How Uber Eats Built Scalable Semantic Search

Evolution and Scale of Uber’s Delivery Search Platform
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Uber Data / MLFollow

How Hudi Cuts Costs for Historical Export Queries

Running Cost-Efficient Export Workloads at Uber
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Uber Data / MLFollow

How Uber Uses AI Agents to Automate Figma Specs

How Uber Built an Agentic System to Automate Design Specs in Minutes
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Uber Data / MLFollow

How Data Abstraction Layers Simplify Complex Integrations

Simplifying Data and Product Integrations with a Data Abstraction Layer
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Uber Data / MLFollow

Scaling Exact Distinct Counts Beyond the JVM Limit

Scaling Exact COUNT(DISTINCT) for High-Cardinality Non-Rollup Metrics in Distributed Data Pipelines
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