Architecture Big Data Storage Transportation 
Uber Engineering
AUGUST 3, 2018
From driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data.
Uber Engineering
OCTOBER 17, 2018
Uber is committed to delivering safer and more reliable transportation across our global markets.
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Dynatrace
JANUARY 16, 2023
Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Specifically, they provide asynchronous communications within microservices architectures and high-throughput distributed systems. Databases : Among databases, Redis is the most used at 60%.
The Netflix TechBlog
OCTOBER 15, 2019
Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3]. Delta Delta has been developed to address the limitations of existing solutions for data synchronization, and also allows to enrich data on the fly. Deal Service, Talent Service and Vendor Service).
All Things Distributed
JUNE 26, 2016
AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. warehouses to glean business insights for jobs, ad spend, or financials for mobile apps.
All Things Distributed
SEPTEMBER 6, 2013
Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.
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