Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping ...

• The exploratory growth in data sets across industries have prompted businesses to focus more on the effective management and utilization of data • Traditional data warehousing systems are witnessing ...

Why is Steve Jobs standing in front a huge data warehouse just weeks after patching a big privacy hole in iOS? Steve Jobs' morning keynote at Apple's World Wide Developers Conference included some ...

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 ...

Palantir and Snowflake are data warehousing tools that offer unique methods of interacting with large, non-relational data sets. While Palantir uses private operating system models, Snowflake offers a ...

General purpose computing systems have been seen as the best way of delivering on enterprise data processing needs for decades. Creating a standard platform to serve as the foundation upon which a ...

Snowflake's mission: Add new, powerful enterprise features to a cloud-native data warehouse system without forcing the customer to turn knobs for the best performance Cloud-based data warehousing ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...