[next-mdx-remote] error compiling MDX: Could not parse expression with acorn: Unexpected content after expression 220 | Another kind of data model describes how to organize data using a [database management system](https://en.wikipedia.org/wiki/Database_management_system "Database management system") or other data management technology. It describes, for example, relational tables and columns or object-oriented classes and attributes. Such a data model is sometimes referred to as the _[physical data model](https://en.wikipedia.org/wiki/Physical_data_model "Physical data model")_, but in the original ANSI three schema architecture, it is called "logical". In that architecture, the physical model describes the storage media (cylinders, tracks, and tablespaces). Ideally, this model is derived from the more conceptual data model described above. It may differ, however, to account for constraints like processing capacity and usage patterns. 221 | > 222 | While _data analysis_ is a common term for data modeling, the activity actually has more in common with the ideas and methods of _[synthesis](https://en.wiktionary.org/wiki/synthesis "wiktionary:synthesis")_ (inferring general concepts from particular instances) than it does with _[analysis](https://en.wiktionary.org/wiki/Analysis "wiktionary:Analysis")_ (identifying component concepts from more general ones). {_Presumably we call ourselves [systems analysts](https://en.wikipedia.org/wiki/Systems_analyst "Systems analyst") because no one can say [systems synthesists](https://en.wikipedia.org/wiki/Systems_analyst "Systems analyst")._} Data modeling strives to bring the data structures of interest together into a cohesive, inseparable, whole by eliminating unnecessary data redundancies and by relating data structures with [relationships](https://en.wikipedia.org/wiki/Relational_model "Relational model"). | ^ 223 | 224 | A different approach is to use [adaptive systems](https://en.wikipedia.org/wiki/Adaptive_system "Adaptive system") such as [artificial neural networks](https://en.wikipedia.org/wiki/Artificial_neural_network "Artificial neural network") that can autonomously create implicit models of data. More information: https://mdxjs.com/docs/troubleshooting-mdx