A programming language structure wherein the data and their associated processing ("methods") are defined as self-contained entities called "objects." Becoming popular in the early 1990s and the ...

This tutorial launches a short series introducing data structures and algorithms. In Part 1, you’ll learn what a data structure is and how data structures are classified.

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

First of all, the handling of data in an object store is highly flexible. In particular, it is not necessary to define the "schema" of the data to be stored, as would be the case in RDBMS, where both ...

Instead, it uses "objects," data structures that contain various types of data and have variable sizes. Therefore, traditional hardware compression techniques handle objects poorly.

Researchers have discovered a new method for turning nearly any object into a data storage unit. This makes it possible to save extensive data in, say, shirt buttons, water bottles or even the ...

The need to persist data created at runtime is as old as computing. And the need to store object-oriented data cropped up when object-oriented programming became pervasive. Currently, most modern ...