How to Analyze a Streaming Dataset of Movie Ratings Using Custom Query Modules?

The blog post explores how to analyze a streaming dataset of movie ratings using custom query modules in Memgraph, a graph database platform. It highlights the use of the MovieLens dataset to dynamically identify the best and worst-rated movies, as well as the most popular ones by applying the PageRank algorithm. The process involves setting up Memgraph using Memgraph Cloud or a local instance, writing custom Python query modules to update movie ratings in real time, and using database triggers to ensure data consistency. The blog also demonstrates how to retrieve and display movies based on their ratings and popularity, offering insights into both highly acclaimed and less favored films. Additionally, it provides guidance on leveraging Memgraph's MAGE library for efficient data processing and encourages further exploration through tutorials and community engagement on Discord.