But there are many other ways to process data besides SQL, and there is a strong demand for different data storage patterns and query mechanisms that optimize the delivery of insight from that raw ...

Data quality is paramount in data warehouses, but data quality practices are often overlooked during the development process.

This means making an effort to reduce the environmental impact of digital systems, particularly those related to data storage ...

Also read: Top Big Data Storage Products Differences between data lake and data warehouse When storing big data, data lakes and data warehouses have different features. Data warehouses store ...

Key data predictions from industry experts and vendors to help enterprises drive growth with operational efficiency in 2023.

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes.

Yet the benefits of a data warehouse are necessary to remain competitive, and there are ways to build a modern data warehouse quickly and without the large upfront investment.

Pure Storage's AI-driven storage leadership secures Meta deal, boosting long-term growth potential. Read here for more on PSTG stock.

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...

Quantum computing will be able to process massive amounts of data at extraordinary speeds, but challenges exist in data storage. How will today’s storage systems keep pace?

As people do more in space they will need to process and storage data in outer space. Lonestar Data Holdings plans to send a small server into space during a second half 2023 NASA lunar landing ...