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 ...

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 ...

• 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 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 ...

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 ...

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 ...

PALM DESERT, Calif. — Some IT projects, like security and system optimization, are so ingrained in corporate computing that hardly anyone questions their budgets or importance. But other IT projects, ...

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 ...

Yellowbrick Data emerged from stealth this week, unveiling its all-flash analytics and data warehouse appliance that the startup says is magnitudes smaller and faster than current data warehouse ...