A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

Inside a relational database management system, the princi­pal persisted data structure is considered a logical relation. Operations performed against that data within the RDBMS result in a logical ...

Four queries and some in-app iteration on collections (joins). At my current job, we have a monolith of similar size/complexity that sits on top of a relational database. The DAOs are somewhat 1:1 ...

A question asked about data contained in two or more tables in a relational database. The relational query must specify the tables required and what the condition is that links them; for example, ...

SQL Server's OpenJson function will let you dismantle JSON structures into relational tables, including tables with foreign/primary key relationships. As I noted in an earlier column, JSON is great ...

The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

Here's how you can use SQL Server's OpenJson function to dismantle JSON structures into relational tables targeting either transactional systems or data warehouses. JSON is great for moving data ...

When object-oriented programming languages began to be used in enterprise applications, designers had problems fitting the object-oriented model with the relational model. In the object-oriented model ...

For the most part, you're probably accustomed to using Microsoft Excel for tasks such as preparing reports, forecasts, and budgets. However, Excel is much more powerful than that. It can be used to ...