The role of data modeling in an AI-driven future The conversation also addressed the evolving landscape of data modeling, particularly the shift from the old school to the new school.

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. The star schema simplifies ...

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' ...

"The GraphQL schema is used to express a data model for the entities, which will be indexed as part of a subgraph. This is a read-schema, and is only exposed at layer two, not in the smart ...

The results are a swiftly queryable homogenous schema that reduces back-end complexity for the timely incorporation and integration of the new, diverse data sources typifying the big data era.

Understanding data is a prerequisite to gaining control of any enterprise. But understanding is only useful if that knowledge can be shared and transmitted. Effective data modeling should be a ...

Object-relational mapper for Node.js and TypeScript aims to ease data modeling, schema migrations, and query creation for application developers.

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

“The Elastic Common Schema provides a shared language for our community of users to understand their data, collaborate to develop resources across the Stack, and more quickly drill down to ...

This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.