The trio also discussed the importance of data modeling and schema design in MongoDB. The company’s document model is a differentiator, allowing data storage in JSON format, which is flexible ...

By applying the appropriate data modeling techniques, you can minimize redundancy, improve query speed, and create a more intuitive and user-friendly data model. Power BI Star vs Snowflake Schema ...

The design of a schema in MongoDB is just as important as it is in RDBMS. Indeed, schema design can be even more complicated in MongoDB. At least in SQL databases, we have the 'first normal form' ...

TL;DR Key Takeaways : Data modeling in Power BI organizes and structures data for effective analysis and reporting, using semantic modeling to define data relationships.

Schema-less does not mean data model-less. NoSQL databases (document, key-value, wide-column, etc.) have become a critical component of enterprise data architecture, ...

Capturing data in an XML schema does not qualify as a model under this definition. To be sure, we can use software to verify that the XML is well formed and conforms to some XML schema document.

Everything is an event. The ease of the event-based schema approach lies in the fact that any data-related occurrence for a line of business can be transformed into an event.

Data diversity is king. The future of enterprise data management involves unifying types and sources of data, not just bigger amounts. But Data Scientists cite data variety as their biggest obstacle ...

Object-relational mapper for Node.js and TypeScript aims to ease data modeling, schema migrations, and query creation for application developers. Prisma, an open source object-relational mapping ...