- Machine Learning with Spark(Second Edition)
- Rajdeep Dua Manpreet Singh Ghotra Nick Pentreath
- 173字
- 2021-07-09 21:07:53
Introducing MovieStream
To better illustrate the design of our architecture, we will introduce a practical scenario. Let's assume that we have just been appointed to head the data science team of MovieStream, a fictitious Internet business that streams movies and television shows to its users.
MovieStream system is outlined in the following diagram:

As we can see in the preceding diagram, currently, MovieStream's content editorial team is responsible for deciding which movies and shows are promoted and shown in various parts of the site. They are also responsible for creating the content for MovieStream's bulk marketing campaigns, which include e-mail and other direct marketing channels. Currently, MovieStream collects basic data on what titles are viewed by users on an aggregate basis and has access to some demographic data collected from users when they sign up to the service. In addition, they have access to some basic metadata about the titles in their catalog.
MovieStream can handle many of the functions currently handled by the content team in an automated manner.
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