Salesforce has more than 150,000 customers, making it one of the most popular and most powerful customer relationship management (CRM) platforms on the market. Organizations need a 360-degree view of ...

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 ...

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. Data ...

Database giant Oracle Corp. announced a new release of its cloud-based Autonomous Data Warehouse service today, adding new capabilities that analysts say will help democratize machine learning.

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 ...

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 ...

Since the 1990s, organisations have gathered, processed and analysed business information in data warehouses. The term “data warehouse” was introduced to the IT mainstream by American computer ...

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 ...

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 ...