TV Series Database

The Project

We built an enterprise platform that centralizes, enriches, and synchronizes television and film data from over 9 external sources. The system serves as the central control hub for maintaining a high-quality content database, with automated data reconciliation, quality scoring, and real-time monitoring of streaming availability.

Challenge

TV metadata is scattered across numerous sources, from international film databases and public broadcasting media libraries to streaming platforms. Data quality varies significantly, formats are inconsistent, and availability changes constantly. Editorial maintenance was a manual, error-prone process. We needed a system that automatically aggregates data, intelligently reconciles it, and reduces the workload for our editorial team.

Core Features

• Multi-Source Integration: Automated connection to 9+ external data sources, international film databases, public broadcasting media libraries, streaming platforms, and knowledge bases are synchronized on a regular basis.
• Intelligent Matching Engine: Fuzzy matching algorithms reconcile series, seasons, and episodes across sources, with configurable thresholds and manual review for uncertain matches.
• Streaming Monitoring: Real-time monitoring of availability on German streaming platforms and media libraries with automatic URL validation and expiration detection.
• Data Quality Scoring: Automatic assessment of completeness and consistency at the episode, season, and series level, prioritizing editorial review needs.
• Release Tracking: Hourly monitoring of release portals with automatic parsing and assignment to existing records.
• Editorial Dashboard: Comprehensive admin panel with ticket system, activity logging, task monitoring, and automatic escalation for recurring errors.
• Automated Enrichment: Cast and crew data, posters, ratings, and popularity metrics are automatically imported and updated from external sources.
• Wikipedia Import: Specialized import of German episode lists with special handling for established series formats.

Technical Highlights

• Extensive data architecture with over 70 data models and complex relationships spanning multiple domains
• 82 specialized commands for automated data processing, from import and enrichment to quality calculation
• Fault-tolerant API integration with health monitoring at minute intervals, automatic deactivation after outages, and ticket creation for recurring errors
• Around-the-clock task pipeline, time-scheduled synchronization distributed throughout the day with prioritized execution order
• Scalable queue architecture for compute-intensive API operations in the background
• Seamless audit logging of all editorial changes with user statistics and session tracking

Result

The platform has fundamentally changed editorial data maintenance: what previously required manual research across dozens of sources now runs largely automated. The matching engine reduces duplicates, quality scoring efficiently prioritizes review work, and streaming monitoring consistently delivers up-to-date availability data. The team can focus on content work instead of data procurement.