Snowflake Inc. will not grow into its heady valuation by simply stealing share from the on-premises data warehouse providers. Even if it got 100% of the data warehouse business, it wouldn’t come close ...

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 ...

Continuing a deluge of announcements clustered around making it easier for enterprises to build artificial intelligence-based agents and applications, Databricks Inc. today is wrapping up its Data+AI ...

As data sources and volumes grow, and as a data-driven orientation is increasingly deemed to be a competitive necessity, the war between platform vendors to provide the primary repository for our data ...

MIAMI--(BUSINESS WIRE)--Spatially Health has been engaged by Provider Network Solutions (PNS) to develop an innovative data warehouse that addresses the shortcomings of traditional data warehouse ...

January was a huge month for data lake-focused companies' funding. Now that we've ticked over into February, it looks like the data "lakehouse" is getting its due as well. Databricks, the company ...

Data warehouses have evolved to support more than just strategic reporting, analytics and daily forecasting. Organizations are investing significant resources to integrate valuable information ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...

As we have pointed out before, large enterprises have to deal with a different kind of scale issue than the hyperscalers, and in many ways, the hyperscalers have it easier. The hyperscalers have ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...