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Engineering

The technology behind Uber Engineering
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Engineering, Data / ML
Selective Column Reduction for DataLake Storage Cost Efficiency

20 September / Global

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Engineering, Backend, Data / ML
CheckEnv: Fast Detection of RPC Calls Between Environments Powered by Graphs

13 September / Global

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Engineering, Backend
Up: Portable Microservices Ready for the Cloud

7 September / Global

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Engineering, Backend
Bypassing Large Diffs in SubmitQueue

1 August / Global

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Engineering, Backend
The Perils of Migrating a Large-Scale Service at Uber

24 August / Global

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Engineering, Backend
Evolution of Data Lifecycle Management at Uber

17 August / Global

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Engineering, Data / ML
Dynamic Executor Core Resizing in Spark

10 August / Global

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Engineering, AI, Backend, Culture
The Transformative Power of Generative AI in Software Development: Lessons from Uber’s Tech-Wide Hackathon

3 August / Global

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Engineering, AI
Innovative Recommendation Applications Using Two Tower Embeddings at Uber

26 July / Global

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Engineering, Backend
How Uber Optimized Cassandra Operations At Scale

20 July / Global

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Engineering, Backend, Data / ML
Attribute-Based Access Control at Uber

13 July / Global

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Engineering, Data / ML
Fast Copy-On-Write within Apache Parquet for Data Lakehouse ACID Upserts

29 June / Global

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Engineering, Backend
Announcing Cadence 1.0: The Powerful Workflow Platform Built for Scale and Reliability

22 June / Global

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Engineering, Backend
Automated Audit Framework For Internet Scale Financial Transactions

15 June / Global

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Engineering, Backend
Identifying Green Vehicles for a Zero-Emission Future

8 June / Global

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Engineering, Data / ML
Spark Analysers: Catching Anti-Patterns In Spark Apps

1 June / Global

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Engineering, Data / ML
Optimizing HDFS with DataNode Local Cache for High-Density HDD Adoption

24 May / Global

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