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Improving our video encodes for legacy devices

The Netflix TechBlog

we announced our intention to stream video over 13 years ago, in January 2007?—?and and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. 264/AVC Main profile family.

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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. The gross margin metric, in the sense it is used in the equations (1.2)

Retail 152
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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Feature value storage We store embeddings in Amber , which guarantees immutability, versioning, auditing, and various metrics on top of the feature values.

Media 290
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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. In 2007, businesses had started to become more distributed; customers were using multiple devices to access their files and there was a need to make this experience as smooth as possible.