Physical data model: This layer defines how the logical model will be applied to the actual data set. Using this layer, IT teams create the real database structure, as well as the hardware and ...

The Difference Between Structured, Unstructured, And Semi-Structured Data To easily understand the differences between the classifications of data, let’s use this analogy to illustrate .

Image: garrykillian/Adobe Stock. Data modeling is the process through which we represent information system objects or entities and the connections between them. Such entities could be people ...

Big data is here, and it’s getting bigger by the day. With more than 80 million Internet of Things (IoT)-devices set to enter the market by 2020, brands are busy making plans to offer new ...

Using this data, data scientists create and refine machine learning models, while data analysts use business intelligence to analyze trends, segment customers and perform root-cause analysis.

Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Topics Spotlight: AI-ready data centers ...

Before marketers commit to and execute their AI strategy, they need to understand the opportunity and difference between data analytics, predictive analytics and AI machine learning.

You may be interested in this guide which provides more insight into the differences between Data Analytics vs Data Science. Data science is a broad field that includes a variety of tasks and skills.