It has been widely documented - data is growing at astronomical rates. The amount of data your organization has is less important than how the data is being used. Is data growth hindering your ...

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 ...

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 ...

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 ...

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 ...

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 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 ...

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 ...

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 ...