Data Warehousing Guide

data sharing is the ability to distribute the same sets of data resources with multiple users or applications while maintaining data fidelity across all entities consuming the data.

Data governance is an organization’s management of its data availability, usability, consistency, and data integrity and data security.

Data warehouse design is crucial in deploying a data warehouse that serves the needs of all stakeholders.

In the not so recent past, cloud data analytics was a small back-office domain inside many organizations.

Data management is an administrative and governance process for acquiring, validating, storing, protecting, and processing organizational data

An enterprise data warehouse (EDW) is a relational data warehouse containing a company’s business data,

Data modeling is the process of organizing and mapping data using simplified diagrams, symbols, and text to represent data associations and flow.

There are several different flavors of data analytics. Here is a look at the most common types of data analytics.

Business analytics leverages Big Data sets to help organizations receive insights around key business metrics and behaviors.