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Schemaless

Latest Articles
22 FEB

Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore

Migrating our Schemaless sharding layer from Python to Go while in production demonstrated that it was possible for us to rewrite the frontend of a massive datastore with zero downtime.

3 JAN

COTA: Improving Uber Customer Care with NLP & Machine Learning

In this article, Uber Engineering introduces our Customer Obsession Ticket Assistant (COTA), a new tool that puts machine learning and natural language processing models in the service of customer care to help agents deliver improved support experiences.

27 DEC

Architects of Infrastructure: Meet Uber Aarhus Engineering

Get to know Uber Aarhus Engineering and the work they do behind the scenes to build and maintain our storage and compute platforms.

2 NOV

Engineering Uber’s On-Call Dashboard

Uber Engineering's On-Call Dashboard provides real-time incident response, shift maintenance, and post-mortem analysis for an improved on-call experience.

21 JUL

Introducing Chameleon: A Global CMS from Uber Engineering

Chameleon, a global CMS for Uber.com, enables regional operations and marketing teams at Uber to build and ship customized, on-brand webpages.

11 JUL

Engineering Data Analytics with Presto and Parquet at Uber

Snap your fingers and presto! How Uber Engineering built a fast, efficient data analytics system with Presto and Parquet.

1 NOV

Dockerizing MySQL at Uber Engineering

In this article, we take a look at Schemadock, Uber Engineering's tooling solution for managing our increasing number of MySQL clusters.

29 MAR

Streamific, the Ingestion Service for Hadoop Big Data at Uber Engineering

Here we look at Hadoop data ingestion, and how Uber Engineering streams diverse data into a cohesive layer for querying in near real-time using our in-house developed Streamific.

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