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.

This guide article explains the difference between structured and semi-structured data and why your data platform must support both for your organization to be fully data-driven.

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

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

Data warehouse architecture is the design and building blocks of the modern data warehouse. Multi-cloud architecture allows for the portability to relocate data and workloads.

What kind of data should be taken into account when companies are deciding on their own data loss protection/prevention strategy? Read here.

Database management involves the organization, storage, security, and retrieval processes of an organization’s data and databases.

A comprehensive data strategy will support your business goals, enabling you to overcome challenges and take advantage of opportunities. Learn how here.

While Data Mart is focused on a single department, Data Warehouse is enterprise-wide and ranges across multiple areas. More differences explored in our guide.