In the beginning, there were mainframes - computer behemoths that occupied whole rooms and buildings, churning, blinking, beeping and droning, storing information and eventually producing oversized ...

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 ...

• 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 ...

The days are numbered for on-premise data warehousing solutions like Teradata, Oracle, SQL Server and DB2. Cloud data warehouse solutions like Google BigQuery, Snowflake, Redshift and Azure SQL/DW are ...

The digitization of the modern business enterprise has created a seemingly never-ending stream of raw data. Gleaning actionable nuggets of information from terabytes upon terabytes of data requires ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the cloud wars heat up, industry clouds are becoming a focal point. Capturing entire ...

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 ...

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 ...

Snowflake Computing came out of stealth mode Tuesday, debuting its cloud-based data warehousing services the startup is positioning as a more flexible, easier-to-manage alternative to traditional ...

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 ...