Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

With Google Cloud, Azure and AWS all adding more regions to Oracle Database@, it’s clear that multicloud, multi-AI strategies ...

Chances are you don’t need a 360-degree customer profile; you need a better method to access and leverage the data you ...

Key features include: IBM Netezza is more than a warehouse, it’s part of an open, trusted data ecosystem powered by IBM watsonx. Together with watsonx.ai for model building and watsonx.governance for ...

The rise of “data mesh” as a buzz phrase in the data management world has generated significant interest, but is it the right approach for your organization? While data mesh has its proponents, many ...

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 ...

Data warehouses have been at the center of data analytics systems within many businesses and organizations for years, going as far back as the 1980s. With the growing adoption of cloud, data warehouse ...

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...

The paint manufacturer is using the Intelligent Data Management Cloud to streamline operational processes and boost ...

LAS VEGAS, Oct. 12, 2025 (GLOBE NEWSWIRE) -- As Wild Alaskan scaled its data platform, Snowflake costs grew unpredictable and ...