Historians. Production data, such as production runs, recipes, shifts, products, schedules, etc., are typically stored in relational SQL databases. Process data, however, is typically stored in a time ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

Structured Query Language is also known as SQL. It is used to create queries that interrogate the data held in a relational database. Examples are: SELECT queries retrieve data from the database ...

Unstructured data is stored in its native format, which means it lacks a pre-defined data model or schema and cannot be managed in a traditional relational database.

Structured databases store a finite amount of data columns, generally run on SQL and are usually used by the sort of business functions where perfection and reliability are of paramount concern, i ...

Query your data. In most cases scripts use SQL (Structured Query Language) to retrieve specific sets of data from databases. These SQL queries can execute from inside a server side script.

“Tabular data” is a broad term that encompasses structured data that generally fits into a specific row and column. It can be an SQL database, a spreadsheet, a .CSV file, etc.

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the ...

An SQL database might hold name, date of birth, address, etc, but analysing unstructured data – via making it semi-structured – can get closer to what consumers think.