Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...

Data analytics is the science of analyzing raw data in order to make conclusions about that information. It helps businesses perform more efficiently and maximize profit.

As enterprises expand into a multi-cloud ecosystem, the need for role-based data masking is growing exponentially. IT leaders ...

Effective data mining techniques are essential to using data for competitive advantage. Written by eWEEK content and product recommendations are editorially independent. We may make money when you ...

Evaluate data modeling techniques, determine which is most suitable for a particular task, and identify potential ... Duration 6h. This module starts with an overview of data mining methods, then ...

This article provides a quick explanation of the nine most common data-mining techniques used in predictive analytics. Becoming familiar with them will go a long way toward enabling you to recognize ...

Viewing data modelling as dead or irrelevant arises from these trends that affect data modelling: The rise of NoSQL datastores that offer flexibility using schema-less key-value pairs.

Box 1: Innovative Technologies for Data Collection and Use Imagery Analysis and Satellite Technology: Geographic information systems (GIS) and imagery analysis are tools that allow researchers to link ...