Understanding and managing the complexities of data infrastructure is significantly enhanced by using technical data lineage graphs, which provide a detailed map of data entities and their dependencies. Memgraph is a tool that facilitates the maintenance of organized and reliable data infrastructures by utilizing these lineage graphs, offering dynamic graph analytics to handle complex data landscapes efficiently. These graphs, which are typically stored in graph databases, allow IT and data engineers to conduct comprehensive impact analyses, discover redundancies, and ensure data compliance with regulations. The dynamic nature of Memgraph's analytics, part of its MAGE library, offers quick and accurate feedback on changes, emphasizing the importance of high-impact nodes for system reliability. Furthermore, by leveraging graph algorithms, organizations can efficiently address data redundancies and perform impact analyses, making graph databases a superior choice for data lineage tasks.