Uber is committed to enabling collaboration for everyone, everywhere through open source.

Joined December 2017
Uber Open Source retweeted
Check out our new blog! Learn about how the Uber Big Data Format team improved cost efficiency with innovations in Apache Parquet and ZSTD, saved millions of dollars for storage cost, and reduced vCores consumption significantly. read more: eng.uber.com/cost-efficiency…
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Uber Open Source retweeted
Come join us for our Workflow Systems: Now and the Future Cadence Open Source Meetup on Friday, November 19th at 11 AM PST! #opensource #cadence meetup.com/UberEvents/events…
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Uber Open Source retweeted
New on our blog today! Introducing uGroup, Uber’s universal Kafka consumer group state management & lag tracking service. read more: eng.uber.com/introducing-ugr…
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Uber Open Source retweeted
On Tuesday we're excited to have @KDharak and @cnaer from @UberEng join @JackieXiaotian for @ApachePinot Features: Lookup Join & Subquery! Register to join our meetup here! hubs.la/H0TtWh00
Uber Open Source retweeted
New on our blog today! Our Uber Engineers & Apache Pinot community discuss how they build a 7x24 data ingestion pipeline in the article Pinot Real-Time Ingestion with Cloud Segment Storage. @UberOpenSource @LinkedInEng read more: eng.uber.com/pinot-real-time…
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Uber Open Source retweeted
New on our blog today! Members of Uber's Data team discuss the journey of containerizing Apache Hadoop infrastructure with Docker. @uberopensource read more: eng.uber.com/hadoop-containe…
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Uber Open Source retweeted
Tomorrow morning Yupeng Fu from @UberEng will be speaking on geospatial support in @ApachePinot including the geospatial data model, functions, and indexing for better query performance. Join us LIVE at 9AM PDT! hubs.la/H0SC9ZD0
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Uber Open Source retweeted
Join us for a Meetup on July 29th, Introducing Orbit, An Open Source Package for Time Series Inference and Forecasting @UberOpenSource RSVP here: meetup.com/UberEvents/events…
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Uber Open Source retweeted
Thanks, @Uber @UberOpenSource @SFbrigade & everyone involved on this great track for our @devmissionorg Pre Apprenticeship Graduates to become full-stack developers.
New Blog! Read about our Uber Fellowship Program. In partnership with @Uber and @SFbrigade. How we are trying to eliminate barriers to the tech industry. Thanks to Uber and Code For San Francisco for their ongoing support in making this possible. devmission.org/uber-fellowsh…
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Uber Open Source retweeted
New on our blog today! Members of our engineering team describe how they co-developed Distributed XGBoost on Ray with the Ray team @raydistributed to tackle various production challenges of doing distributed machine learning at scale. read more: eng.uber.com/elastic-xgboost…
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Uber Open Source retweeted
New on our blog today! Members of our data science team introducing Orbit, An Open Source Package for Time Series Inference and Forecasting. Orbit is a general interface for Bayesian time series modeling. @UberOpenSource read more: eng.uber.com/orbit/
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Uber Open Source retweeted
New on our blog today! Members of our engineering team introducing Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory. read more: eng.uber.com/optimal-feature…
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Uber Open Source retweeted
Fiddling around with @UberOpenSource #KeplerGL 👉 the result: a 🌄 #choropleth map of locality-level COVID-19 incidence rates in #Romania #GIS #dataviz #szekelydata @DataDenes szekelydata.csaladen.es/inci…
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Uber Open Source retweeted
Asian people have the right to move without fear. #StopAsianHate
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We're delighted to have Jim Jagielski (@jimjag), Open Source Program Office for @uber, presenting "Open Source 101" at #OS101! opensource101.com/sessions/o…
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Uber Open Source retweeted
Join us on March 16th & 17th! Find out how @ubereng & @facebook and others build streaming SQL applications for unified processing + get up to speed with @ApacheFlink SQL and @apache_pulsar at next week's meetup! @UberOpenSource RSVP: meetup.com/Bay-Area-Apache-F…
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Uber Open Source retweeted
New on our blog today! The engineering team describe Elastic Deep Learning with Horovod on Ray. How it is bringing common infrastructure and standardization to the production machine learning ecosystem. @UberOpenSource #DeepLearning Read more: eng.uber.com/horovod-ray/
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