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 ...

A data lakehouse combines the horizontal scalability of data lakes with the transactional management of a data warehouse. Lakehouses decouple storage from compute, so that compute resources can be ...

In this guide, we examine the data storage needs of artificial intelligence, the demands it places on data storage, the suitability of cloud and object storage for AI, and key supplier AI storage ...

Materialised view selection is a critical process in data warehousing that significantly enhances the performance of online analytical processing systems. This process involves the pre-computation ...

When approached strategically, leveraging AI and data analytics in warehouse management can help optimize various workflows and address key issues.

Databricks wants to increase its revenue by offering its customers lower costs and lower risks in the process of migrating their legacy data warehouses to its own proprietary platform.