Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Oracle Corp. early today debuted a new version of its Autonomous Data Warehouse platform that promises to simplify enterprise analytics projects, as well as reduce costs. Companies use the Autonomous ...

Nate Holiday is the co-founder and CEO of Space and Time. He sat down with Jessica Abo to talk about his company and the intersection of data and blockchains. Jessica Abo: Nate, tell us a little bit ...

AI-driven analytics platform Rasgo has announced the launch of Rasgo AI, a self-service analytics solution that integrates a GPT (generative pre-trained transformer) into enterprise data warehouse ...

Customers want to be able to mash up their data sources as they grow and that’s a major driver behind NetSuite’s new NetSuite Analytics Warehouse (NSAW) offering that took center stage on Day One of ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Palantir and Snowflake are data warehousing tools that offer unique methods of interacting with large, non-relational data sets. While Palantir uses private operating system models, Snowflake offers a ...

These days, data managers have an embarrassment of riches when it comes to the platforming, storage, and provisioning of data and associated analytics applications. However, selecting the right ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...