Follow these tips to ensure that your database schema delivers maximum utility for data warehouse users, data analysts, and data scientists.
A good database schema is indispensable for making data warehouses work. Get it wrong, and you’ll be in a world of hurt.
The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. If you’ve ever wondered how much data there is in the world, what types there are and what that means for AI and businesses, then keep reading!
Material Bank, the world’s largest materials marketplace, provides a fast and powerful way to search and sample fixtures, construction materials, and textiles from hundreds of different brands. They serve both direct customers and retailers in the architecture and design industry, including massive companies such as Ethan Allen, Home Depot, and Lowe’s.
Business intelligence (BI) has gotten so sophisticated that a variety of end users within an organization may be eager to use data to guide their decisions. Unfortunately, most businesses have a very small data analysis or BI team. How can companies like this enable more people to use more data more effectively without overwhelming their BI staff?
