The last five years have seen the rise of the cloud data warehouse. What will the next five years bring? In the last five years, we’ve seen the cloud data warehouse, exemplified by Snowflake and ...

The need to unify customer and key enterprise data keeps growing as the competition in the modern business landscape tightens. To excel, astute business leaders are leveraging data warehouses for not ...

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 ...

Oracle recently announced an update to its Autonomous Data Warehouse (ADW) service. The update positions the company to gain market share against its cloud rivals in the competitive cloud data ...

A data warehouse is a subset of an organization's data that contains only essential information that supports strategic goals. This is often stored as raw data that has been organized in a way to make ...

For many teams, the requirement is no longer limited to scheduled warehouse refreshes or nightly batch jobs. They now need ...

The move to the data lakehouse was full of promises—speed, agility, and cost-effective query performance, to name a few. Yet, many enterprises find it difficult to realize all these benefits at once; ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Without the right processes and tools, it’s easy for a digital analyst to spend more time pulling and organizing data than reporting their findings and delivering meaningful analyses. What can ...

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 ...