Remove 2007 Remove Innovation Remove Processing Remove Scalability
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What Adrian Did Next?—?Part 3?—?eBay?—?2004 to 2007

Adrian Cockcroft

What Adrian Did Next — Part 3 — eBay — 2004 to 2007 I’d left Sun (part 2 in this series) , and had a few months off over the summer, so (of course) got married to @laurelco, bought a “fixer upper” house in the Los Gatos mountains, and worked on getting it tidied up. It was early 2007, and time to move on again.

Google 52
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

Early years: Fueled by innovation and community-mindedness Initially, the lines weren’t so blurred, and certainly, they weren’t muddied. MongoDB started out in 2007 as 10gen, a New York-based company looking to create a Platform as a Service (PaaS) solution. They came up with a horizontally scalable NoSQL database.

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COVID-19 Triggered the Turning Point

Tasktop

The first is the Installation Period , when a new technological approach and financial capital combine to create a “Cambrian explosion” of startups, disrupting companies and entire industries in the process. These cycles and bubbles of innovation happen every several decades. Many are gearing up right now to hire your best staff.

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World’s Top Web Performance Leaders To Watch

Rigor

Reading time 16 min Whether you’re a web performance expert, an evangelist for the culture of performance, a web engineer incorporating performance into your process, or someone new to the web performance entirely, you probably identify as curious, excited about new ideas, and always learning. Maximiliano Firtman. Maximiliano Firtman.

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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata. either a movie or an episode within a show). mp4, clip1.mp4,

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Data Mining Problems in Retail

Highly Scalable

More specifically, the article was inspired by three major case studies from Albert Heijn [KOK07], the largest supermarket chain in the Netherlands, Zara [CA12], an international apparel retailer, and RueLaLa [JH14], an innovative online fashion retailer. At the same time, we avoid academic results with little or no empirical support.

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