Gold Sentinel is seeking to enhance its data storage capabilities by implementing a Redis-based solution. The current system struggles with latency and scalability issues, impacting the efficiency of data retrieval and processing. The goal of this project is to design and implement a Redis-based data storage solution that addresses these challenges, providing faster data access and improved scalability. Learners will apply their knowledge of database management and distributed systems to create a robust and efficient storage solution. The project will involve understanding the existing data architecture, designing a Redis schema, and implementing the solution in a test environment. Key tasks include configuring Redis instances, optimizing data structures, and ensuring data consistency and reliability.

The project deliverables will include a comprehensive design document outlining the Redis schema and architecture. Additionally, a fully functional Redis-based data storage solution will be implemented in a test environment, demonstrating improved performance metrics. Learners will also provide a report detailing the implementation process, challenges faced, and solutions applied. A presentation summarizing the project's outcomes and benefits to Gold Sentinel will conclude the project.