Traditionally, data modeling produces a set of structures for a Relational Database Management System (RDBMS). First, we build the Conceptual Data Model (CDM) to capture the common business language ...

This type of data model is used most often to design relational databases. Image: shmai/Adobe Stock In an ER diagram, entities are represented by rectangles, and relationships are represented by ...

This online data science specialization is ideal for learners interested in database design, database software fundamentals, and how to use Structured Query Language (SQL) to work with databases. You ...

Not all data can be shoehorned into a particular model, whether relational or otherwise. That’s why there are so many different database options in the market. The need for multiple data models ...

Another benefit is to use the same database for global data analytics and reporting. We don't need to translate into another data model or another database to run the analytics and reporting from that ...

Part of the art of relational database design hangs on the judicious use of indexes. If you omit an index for a frequent query, the whole database can slow down under heavy read loads.