The data warehouse player has come up frequently through my various case studies in a past life. Its data mining customers include Discover Financial Services, Lowe's, Harrah's Entertainment, Wells ...

This week, Oracle announced a major extension of its cloud-based Autonomous Data Warehouse service that transforms it into an end-to-end offering with a heavy dose of self-service for business users.

The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

To fit into modern analytics ecosystems, legacy data warehouses must evolve—both architecturally and technologically—to deliver the agility, scalability, and flexibility that business need to thrive ...

For a data warehouse to deliver near real-time information, the choices generally are to update the warehouse more frequently or access data directly from operational systems. Either way, the push to ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

According to Gartner, Inc., CIOs need to familiarize themselves with nine key trends in data warehousing and how they will impact the cost-benefit balance of technology deployed to deliver business ...

Snowflake's new data warehouse is designed from the ground up for the cloud and is aimed at analytics users who need high elasticity A startup called Snowflake is setting out to create the “data ...