Serverless Application for price compasion

Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceThis project comes in collaboration with Deloitte to deliver a secure endpoint with access to a database where a catalog of retail products will be represented with their prices in each of the stores of various retailers. This database allows price comparisons between stores and retailers. The project's architecture was designed according to a serverless concept, prioritizing scalability and availability, discarding maintenance and server configurations concerns. To achieve the idealized architecture, the project was developed using AWS cloud services, where the functions of ingestion and data processing are allocated and all other components of the project. I will also take a closer look at each of the various technologies and libraries that were chosen for each part of the process, as well as their contribution to the functioning of the project. The result is a stable, secure, and fast structure, capable of providing information about retail products, with the possibility of scaling horizontally without limits, which offers little maintenance thanks to its serverless design. The database that feeds the API contains a catalog with more than 30,000 products for which we have more than two million daily prices from various retailers in various stores