The software giant also unveiled strategic alliances with Collibra, Confluence, Databricks and DataRobot designed to help customers develop a business data fabric architecture that incorporates data ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

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 ...

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

CRM's booming Data Cloud business unit is likely to have reignited the company's slowing revenue growth trend.

Earlier this year, I had the privilege of serving on the organizing committee for the DataTune conference in my hometown of Nashville, Tenn. Unlike many database-specific or platform-specific ...

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 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 Warehousing is the storage of big data. Data mining is the analysis of the collected data in order to find trends in the collected data.

The main objective of this course is to introduce students to the principles and practices of modern data visualization and data warehousing. The first half of the course focuses on visualization best ...