The key features of the InfiniDB columnar database create an elegant architecture for today’s large-volume, high-speed analytics applications. InfiniDB’s column partitioning, use of compression and ...

Data warehousing solutions enable users to process their organizational data and gain more insights from their data analysis. But with so many different types and vendors of data solutions on the ...

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 ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Oracle CEO Larry Ellison today introduced the company's first hardware products, a joint effort with Hewlett-Packard, to re-architect large database and storage configurations and gain whopping data ...

A data warehouse is a central repository of corporate data derived from operational systems and external data sources. The main function of a data warehouse is to support strategic business decisions ...

Platforms like AWS Lake Formation and Delta Lake point toward a central hub for decision support and AI-driven decision automation Are data warehouses relevant again, or are they a dying breed? You’re ...

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 ...