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 ...

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 ...

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 ...

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 ...

You may have heard the term “data warehousing” in relation to your information and technological needs, but what does this mean and what can it do for your rental business? Data warehousing is simply ...

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 ...

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 ...