AI News, Machine Learning Netflix Style with Xavier Amatriain Recorded at:

Machine Learning Netflix Style with Xavier Amatriain Recorded at:

mean Hadoop is going to be helpful in one set of problems and of course at Netflix we do use Hadoop and we work on some of our solutions are based on using Hive or Pig Scripts that runs Hadoop, but one important thing to remember at Hadoop is that it provides solutions for sort of like Data Distribution problem or Distributed Data Computing and in an offline or batch mode setting, and that it’s just one part of the problem, which is an interesting one because some of your Big Data problems can be addressed that way and think about the kind of processes that you can run over night, I like to use the metaphor like, when your people are sleeping and you can crunch some numbers and run to Map Reduce job from Hadoop and the next day when they wake up you have something ready for them, that is a good thing to do on the Hadoop side of things.

If the user starts watching a movie or TV show, you know we have usually half an hour or two hours, you could be doing, you could update things, they don’t need to happen online in a few milliseconds, they could happen in a few minutes, but you can recompute and rebuild your models and you can recompute your Recommendations in a different way that would happen through sort of like the Big Data offline Hadoop pipeline that is going to be happening over night and it’s going to be Big Data crunching.

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