摘要：Data modeling is a decisive skill for every data scientist, whether you are doing research design or architecting a new data base for any organization. The skill to think clearly and systematically about the key data points to be stored, retrieved, and also how they should be grouped and related, is what the data modeling element of data science is all about. A data model describes information in a organized way that allows it to be stored and retrieved efficiently in a Relational Database Management System (RDBMS), such as SQL Server, MySQL, or Oracle. The model can be thought of as a way of translating the logic of precisely relating things in the real world and the relationships between them into rules that can be followed and enforced by computer code. Data Models and Data Modeling Methodologies have been around since the beginning of time. At least since the beginning of computer technology. The data needs a structure that provides the computer with a way to understand the data and process its bits and bytes. Sure, we're also dealing with unstructured and semistructured data today, but for me it means we've evolved into a more sophisticated paradigm than previous computing. Therefore, the data model remains and forms the basis for building sophisticated business applications.
关键词：When we come across terms such as modeling and design in the context of data;we think about the logical design and physical implementation of a database
