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Data Engineering Path  ·  Data Modelling
NETFLIX STREAMING CASE STUDY

Step 1: Problem Statement Analysis (Netflix)

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Core Product Features

A global video streaming platform like Netflix coordinates:

  1. User Accounts & Subscriptions: Core billing accounts associated with tiered monthly subscription plans (Basic, Standard, Premium) that limit screen counts.
  2. Multi-Profile Personalization: Allowing up to 5 user profiles per account, each with private watchlists, distinct rating histories, and customized age settings.
  3. Complex Catalog Hierarchy: Handling both stand-alone Movies and episodic TV Shows (which have multiple Seasons, each having multiple Episodes).
  4. Real-time Playback State Tracker: Saving watch progress (last playback position in seconds, completed flag) frequently to allow "Resume Playing" across devices.
  5. CDN Node Assignment (Open Connect): Mapping movie streams to regional edge caching servers to reduce traffic latency.

⚠️ Key Technical Challenges

  • Episodic vs. Feature Content Hierarchy: Designing a clean relational schema that represents both 10-season TV Shows and a single-release Movie without creating redundant fields or tables.
  • Ultra-High Concurrency Stream Tracking: Playback state events are sent every 10 seconds. The database must sustain massive write operations to update last_watched_position fields without blocking other database operations.
  • Concurrent Screen Count Checks: Validating plan limits (e.g., maximum of 4 active screens for Premium) in real time before allowing a profile to initiate a new video stream.

Business Rules

  • Standard sub-profiles marked as "Kids" cannot load videos carrying a maturity rating above PG.
  • Video files have multiple stream tracks representing quality tiers (SD, HD, UHD/4K) and languages.
  • A user's active stream must be routed to the closest geo-located Content Delivery Network (CDN) edge server that caches the target video file.
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