Enterprise data warehouses are comprehensive structured data stores designed for analysis. They often serve as the data sources for BI systems and machine learning.

In the beginning, there were mainframes - computer behemoths that occupied whole rooms and buildings, churning, blinking, beeping and droning, storing information and eventually producing oversized ...

So, if data warehousing is the single most critical obstacle to cloud dominance, why have the hyperscalers not taken out these systems already? The answer is as simple as striking.

The Snowflake platform offers all the tools necessary to store, retrieve, analyze, and process data from a single readily accessible and scalable system.

A data warehouse is a copy of transaction data structured for querying and reporting or a system storing large amounts of data structured to help a business understand its customers.

Seeing the business value in data will help ensure they continue to support its collection and use. Monitor Continuous— improvement is key to maintaining the success of a data warehouse. Monitor, ...

Part 5 of CRN’s 2023 Big Data 100 takes a look at the vendors solution providers should know in the data warehouse and data lake systems and services space.

It’s felt obvious for some time that, as an industry, we’ve been trying to shove square data warehousing tools into round, data-driven application holes. But it wasn’t until I read ...

This would presumably see a cloud provider, or possibly Yellowbrick itself, host Yellowbrick Data Warehouse systems and provide on-demand access to them for customers, but the firm declined to give ...

A WMS is essential because it not only tracks every item in your warehouse but helps optimize storage, manage inventory ...