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

A WMS is essential because it not only tracks every item in your warehouse but helps optimize storage, manage inventory levels and reduce costly errors. It monitors inventory as it arrives, gets ...

What is a data lake? Some mistakenly believe that a data lake is just the 2.0 version of a data warehouse. While they are similar, they are different tools that should be used for different purposes.

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

A quick quide to shifting from data warehouse, data lake or legacy systems to a data lakehouse without disrupting business applications.

Companies should also monitor the return on investment of a data warehousing system after it’s installed so IT leaders can use it to wring out additional savings.

Teradata is a connected multicloud data platform with a highly scalable relational database management system suitable for data warehousing purposes. The Teradata system is based on various ...

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, ...

As part of the 2022 Big Data 100, CRN has compiled a list of data warehouse system and service companies that solution providers should be aware of.

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.