6 Inspiring Examples of Data-Driven Art
Data may come across as entirely academic at first glance. Massive databases of embedded, interlocking spreadsheets don’t exactly spark inspiration
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Designing a Production-Ready Kappa Architecture for Timely Data Stream Processing
At Uber, we use robust data processing systems such as Apache Flink and Apache Spark to power the streaming applications
Continue readingTop 5 Applications of Big Data in Digital Marketing
Big data has brought opportunities as well as challenges to marketers. Digital marketers can reach more information to conduct a
Continue readingEngineering SQL Support on Apache Pinot at Uber
Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on
Continue readingReliably Upgrading Apache Airflow at Slack’s Scale
Photo by Matt Duncan on Unsplash Apache Airflow is a tool for describing, executing, and monitoring workflows. At Slack, we use
Continue readingDesign for failure – multiple layers of processing to protect against failures.
When designing the architecture of a system, one always needs to think about what can go wrong and what kind
Continue readingUnderstanding Splunk : Data Ingestion
An introduction to Splunk and How it can be used in Business Applications. Source: Codementor
Continue readingBeyond L2 Loss — How we experiment with loss functions at Lyft
Beyond L2 Loss — How we experiment with loss functions at Lyft Matterhorn — Pixabay photography Estimating expected time of arrival (ETA) is crucial to
Continue readingUber’s Data Platform in 2019: Transforming Information to Intelligence
Uber’s busy 2019 included our billionth delivery of an Uber Eats order, 24 million miles covered by bike and scooter
Continue readingProductionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber
Michelangelo, Uber’s machine learning (ML) platform, powers machine learning model training across various use cases at Uber, such as forecasting
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