You are probably familiar with Netflix as an entertainment company, supplying you with DVDs and streaming content. Powering all those movie recommendations and helping to run the business is a team of data engineers and analysts. Learn about the evolution of data, BI, and analytics at Netflix. And also check out the Netflix Tech Blog.
As data volumes continue to increase, it is difficult to figure out when and where a detailed investigation is needed. If anomalies can be identified, they can provide the focus for where to look. Netflix is outsourcing its Robust Anomaly Detection (RAD) for Outlier Detection on Big Data.
If you have seen the Netflix movie recommendations and wondered what it took to make it happen or maybe participated in the Netflix Prize, this Gigaom article discusses how Netflix spends $150 million on content recommendations every year.
Improving Netflix’s Operational Visibility with Real-Time Insight Tools zite.to/1cxShfi
The Netflix team does some pretty cool stuff. Check out this video from InfoQ to learn about Machine Learning and Recommender Systems at Netflix Scale presented by their Director of Algorithms Engineering, Xavier Amatriain.
And don’t forget to check out other posts about Netflix.
Big Data Analytics and Data Science at Netflix (Video) zite.to/ZXTbiI