MongoDB is a cross-platform, open-source database that uses a document-oriented data model rather than a relational database structure based on a traditional table. This type of model facilitates and speeds up the integration of structured and unstructured data.
MongoDB is a NoSQL database that stores large amounts of data using JSON-like documents along with optional schemas. It is a flexible data storage model that not only facilitates querying for the user, but also facilitates database management for developers.
Master Data Management (MDM) provides a unified view of data across multiple systems to meet the analytics needs of a global enterprise. Whether MDM identifies customers, products, suppliers, locations, or other important attributes, MDM creates single images of master and reference data.
Especially in machine learning and natural language processing (NLP) projects, data is often represented as numerical vectors. At this point, traditional databases may be insufficient to manage vector-based data. This is where Vector Database (Vector DB) comes into play.
Bayesian Networks are one of the most widely used types of probabilistic graphical models. Providing effective solutions for decision making and inference under uncertainty, these networks play a critical role in artificial intelligence, machine learning and data analysis.
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