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Deliverables and artifacts in NoSQL data modeling efforts Multi-model NoSQL database modeling best practices How to data model for transactional and analytics use cases in NoSQL databases ...
A data modeling software helps craft a high-performance database, generate reports that can be useful for stakeholders and create data definition (a.k.a. data description) language (DDL). Good ...
One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.
Data modeling is the process of defining datapoints and structures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.
Ted Hills hosted a workshop at the recent Data Architecture Summit 2018 Conference about data modeling for relational and NoSQL databases. He said that the NoSQL movement helped the database ...
Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.
In composing a data model, the structures are put together thoughtfully and with intention. Data structures emerge from the application of semantics germane to the universe-of-discourse and filtered ...
With properly written applications taking advantage of the new data model, oaPartitions can customize how and what data will be loaded into memory from the database.
This approach features a centralized database linked to other data stores with a common data model that carries information from one point to another, without the need to rewrite code.
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