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Databook: Turning Big Data into Knowledge with Metadata at Uber

Uber Engineering

From driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data.

Big Data 110
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Uber’s Big Data Platform: 100+ Petabytes with Minute Latency

Uber Engineering

Uber is committed to delivering safer and more reliable transportation across our global markets.

Big Data 109
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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc. What is BPF?

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Kubernetes in the wild report 2023

Dynatrace

Specifically, they provide asynchronous communications within microservices architectures and high-throughput distributed systems. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch. The data covers the period of January 2021 through September 2022.

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Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

In Netflix the microservice architecture is widely adopted and each microservice typically handles only one type of data. The core movie data resides in a microservice called Movie Service, and related data such as movie deals, talents, vendors and so on are managed by multiple other microservices (e.g

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Use Digital Twins for the Next Generation in Telematics

ScaleOut Software

Rapid advances in the telematics industry have dramatically boosted the efficiency of vehicle fleets and have found wide ranging applications from long haul transport to usage-based insurance. However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture.

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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

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.

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