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Development of a Scalable Content Management and Processing System for Media-rich Digital Assets
  1. case
  2. Development of a Scalable Content Management and Processing System for Media-rich Digital Assets

Development of a Scalable Content Management and Processing System for Media-rich Digital Assets

seven-pro.com
Information technology
Media

Identifying Challenges in Managing and Processing Complex Media Content

The client faces difficulties in building an internal media management platform capable of storing, processing, and retrieving large volumes of photo and video content along with location and descriptive metadata. They require a dedicated team to develop a system that handles complex media processing tasks, provides extensive filtering options, and ensures high-quality outputs, without reliance on existing solutions that limit scalability or customization.

About the Client

A mid-sized enterprise specializing in digital media content management, offering services to users who require efficient storage, processing, and retrieval of high-volume photos and videos with advanced filtering capabilities.

Goals for Developing a Robust Media Content Management Platform

  • Design and implement a web-based service for storing and managing photos and videos with associated metadata such as descriptions and locations.
  • Develop processing capabilities that generate relevant content lists with customizable filters to enhance user experience.
  • Ensure system scalability to accommodate growing media volumes while maintaining high performance and reliability.
  • Deliver an internal product that simplifies media asset management for clients, improving operational efficiency and content discoverability.

Core Functional Requirements for the Media Management System

  • Secure storage for large-scale photos and videos with metadata association.
  • Processing engine capable of analyzing media content for generating relevant content suggestions.
  • Advanced filtering system allowing users to customize content searches based on various criteria such as location, description, date, and media type.
  • User-facing interface with additional tools to facilitate media browsing and management.
  • Role-based access control to secure sensitive media assets.

Preferred Technologies and Architectural Approaches

.NET (Asp.Net Core, WebApi, Xamarin)
Azure cloud services (Azure SQL Database, Virtual Machines, TDD framework)
Web technologies (HTML, CSS, JavaScript, jQuery, Bootstrap)

External System Integrations and Data Sources

  • Cloud storage solutions for media assets
  • Metadata and geolocation services
  • Third-party media processing or analysis tools, if applicable

Non-Functional System Requirements and Performance Standards

  • Scalable architecture capable of accommodating increasing media volumes
  • System uptime of 99.9% with high availability configurations
  • Secure handling of media and metadata, ensuring compliance with data protection standards
  • Fast processing and retrieval times to enhance user experience, with response times under 2 seconds for core operations

Anticipated Business Benefits and Efficiency Gains

The development of this media content management system will enable the client to improve operational efficiency by automating media storage and processing workflows. It is expected to support handling increasing media volumes cost-effectively, enhance content discoverability through advanced filtering, and ultimately enable the client to deliver higher quality media services. This project aims to achieve scalable performance and a high-quality codebase, resulting in a reliable solution that can support ongoing growth and user satisfaction.

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