Data warehouses may seem like a trip down memory lane, or just a clunky data store. But if we look closely at data warehouse projects, the goals - and results - remain relevant. Most clients I speak ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

Choosing the right data management solution comes with a long list of considerations for district IT teams, including where to start. Banks, co-host of the Packet Pushers Podcast, has been managing ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The proliferation of data arrived unexpectedly. Businesses were used to handling some volume ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More With the rise of Snowflake and other cloud data warehouses, enterprises ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, ...

Data lakehouses, a new kind of data store that combines the flexibility of data lakes with the structure and performance of data warehouses, are on track to co-opt data warehouses although they will ...

Cloud data warehouses have emerged as the go-to repositories for amassing huge amounts of data and running advanced analytics and AI upon it. This is great news for customers, who no longer must worry ...

Today database vendor Greenplum unveiled a “solution for enterprise data clouds.” The company claims this represents a shift in how enterprise data is managed, and it’s aiming to displace data ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.