Artificial intelligence is helping hotel operators unbundle their offerings and repackage them into personalized guest ...

Migrating on-premise databases and data platforms to a cloud-based data lakehouse can be challenging for organisations that run multiple data management products on different systems to serve ...

With a combined market value of around $150 billion, Snowflake and Databricks have divergent visions on how to get customers' analytics and machine learning tools to their data, which is often spread ...

Espresso AI, an innovative platform leveraging large language models (LLMs) to optimize data warehouses, has announced the ...

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 ...

SAN MARCOS, Calif. — The Lakehouse Resort in San Marcos, California, is introducing a new concept called "Meetcations" that combines business meetings with vacation-like activities. The resort aims to ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

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 ...