A data warehouse is a repository for information gathered from an organization's operational and transactional data management systems. Manufacturing organizations gather information at almost every ...

Today’s privacy-conscious environment presents mounting challenges for enterprise data processing infrastructure. The confluence of legislation and consumer sentiment is pressing both digital natives ...

For decades, the enterprise data warehouse (EDW) has been the aspirational analytic system for just about every organization. It has taken many forms throughout the ...

Today’s businesses understand the power of data. It surrounds every aspect of their operations from marketing and sales to new product design, and even the onboarding of new employees. Captur­ing, ...

If you're not analyzing all the data collected by your ERP (enterprise resource planning) and CRM (customer relationship management) solutions, it might as well be collecting dust on a shelf.

As part of CRN ’s Stellar Startups for 2025, here are five big data technology startups, founded in 2019 or later, that ...

Before the iPhone and Xbox, prior to the first Tweet or Facebook “Like,” and well in advance of tablets and the cloud, there was the data warehouse. For 30 years, businesses have centrally stored data ...

This sponsored post is produced by IBM Cloud Data Services. It has been estimated that more than 30 billion connected devices will exist by 2020. If a business isn’t capturing and analyzing all the ...

Since its founding 13 years ago as an online shoe seller, Zalando SE has grown to become one of the largest e-commerce fashion retailers in Europe. Given its roots on the web, it’s not surprising that ...

Data warehousing solutions enable users to process their organizational data and gain more insights from their data analysis. But with so many different types and vendors of data solutions on the ...

Larry Ellison demonstrated a “revolutionary” voice interface for getting information from Oracle’s cloud-based business applications and he applied analytics to a data warehouse he built on the fly ...

We recently looked at the idea of the data lake, so now it’s time to head downstream and look at data warehouses. We’ll define data warehouses, look at the data types they comprise, the storage they ...