As you become more proficient with star schema and basic data modeling, consider exploring advanced techniques: DAX Calculations: Create complex measures and calculated columns; ...

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.

In the fast-paced world of data-driven technologies, MongoDB Inc. has emerged as a powerful and flexible database platform.As organizations seek to unlock the full potential of MongoDB, data model ...

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 ...

Elastic N.V. (NYSE: ESTC), the company behind Elasticsearch and the Elastic Stack, announced the general availability of version 1.0 of the Elastic Co ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

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 ...

You would think that with the towering importance of data in today's modern organization that data modeling would be viewed as extremely important by management and IT professionals, so it is somewhat ...

Data modeling for big data steps are discover, document, standardize, integrate, and publish. The goal of the new steps is to take the complexity out of managing big data volume for the end user.

Google wants to unify structured data markup and Merchant Center feed data for consistent product listings across shopping experiences. Google wants to unify schema.org markup and merchant feed ...