Many additional features have been developed to help data modelers. In addition to the script creation to facilitate development, the HTML documentation provides a rich, human-readable report that includes diagrams, collections, relationships and all their metadata. Outputs of a Data Modeling Tool for MongoDB To leverage the recent introduction of the validator with support for JSON Schema, the data model is the ideal place to store the business rules and constraints to limit inconsistencies and inaccuracies in the data, so this validator can enforce them thanks to a script generator. With complex application developed by large teams, it becomes a challenge to insure consistent ways to store data. This can be supplemented with detailed descriptions and a log of team comments gathered as the model adapts over time for the schema evolution.ĭata Governance for Unstructured and Semi-Structured Data Hierarchical View of Nested ObjectsĪ data model is described with definitions of properties and constraints for each collection and field. However, data itself contains relationships, and an ER Diagram provides a visualization of these relationships.
MongoDB is a non-relational NoSQL database technology, since relationships are not enforced by the database engine.
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The future queries and data representation in the application screens are the main drivers for the design of a data model.Īn ER diagram displays JSON object nesting and illustrates the embedding and denormalization necessary for the scale and performance of the application. The simplest way to visualize a schema is to present it in an Entity-Relationship Diagram, a sort of blueprint of the foundations of an application, showing a map of the data. It gives teams more control over their data by providing powerful data modeling, cataloging, and documentation capabilities." Hackolade is used by many additional references. The MongoDB Schema Design tool supports several use cases to help enterprises manage their databasesĪccording to Alan Chhabra, VP of Worldwide Partners at MongoDB: "We’ve seen time and again how Hackolade can improve application quality and time to market for developers. The visualization tool also generates HTML documentation of the database schema which serves as a platform for dialog between analysts, designers, architects, developers, and DBAs. View sample documentation Schema Visualization It also derives MongoDB schema based on the reverse-engineering of existing instances, so a data modeler or information architect can enrich the model with descriptions, properties, and constraints.
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Hackolade is a MongoDB schema design software that dynamically generates scripts as you visually build a data model in forward-engineering approach. Written as a visual editor for JSON Schema, Hackolade is built from the ground-up to leverage the flexibility of JSON nested objects and polymorphism. Hackolade pioneered the field of data modeling for NoSQL databases when it developed a visual tool to perform the schema design of JSON structures.
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