The key factors in building an effective data warehouse include defining the information that is critical to the organization and identifying the sources of the information. A database is designed ...

The “data” part of the terms “data lake,” “data warehouse,” and “database” is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should ...

In some cases, a poorly designed data warehouse could cause inaccurate source data to be acquired and used by your organization, negative effects on its productivity. The term database refers to a ...

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.

Without the data warehouse, gathering information from legacy ... When it comes to structuring data for a database, there are two main modeling techniques to consider. Relational: Widely used ...

IBM Db2 Warehouse is a brilliant relational database solution that delivers high-quality analytics and data management for businesses worldwide. It offers support for a wide range of operating ...

A configuration management database (CMDB) is a data repository that stores information about all hardware and software assets in your IT environment. This critical component of the ITIL framework ...

A virtualization platform lets existing applications run natively on the cloud data warehouse. No or only minimal changes of SQL are required. So, how does database virtualization take the sting ...

Information from the company database is collected and analyzed by data warehouse analysts. As part of their job duties, they design and manage the databases, as well as troubleshoot issues that occur ...