Choosing Between Different Graph Types A quick glance at any data visualization platform shows that there are dozens of different graph types, from “classics” such as line graphs and bar graphs to ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking ...

When used in IAM, knowledge graphs integrate identity and access from all systems across the organization, including structured and unstructured data from different sources and formats.

Using a unifying color scheme across the different graphs, including adequate legends, and using grid lines can all help make your data easier to understand and capture people's attention better.

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

Jim Morris, solution engineer, Progress, and Stephen Reed, senior account manager, Progress, joined DBTA's webinar, Building Knowledge Graphs to Power Your AI Initiatives, to examine how knowledge ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

They are popular because they are popular, which is a circular argument that suits a pie chart. But there are some serious downsides to using the humble pie.