Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful ...

AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

AutoMapper makes life easy, but has its limits. Learn how to implement a custom mapper to handle complex data structures or incompatible types. When working on applications, you will often need to ...