Abstract: The subject disclosure pertains to databases as well as generation and utilization of keys. A desired or default number of values can be requested from a domain and allocated for use. These values can be utilized to generate surrogate keys. Subsequently or concurrently, the keys can be employed with respect to operations such as single pass loading of databases and/or data warehouses. Any unused keys can be returned and made available for use by other users or processes. Furthermore, the key generation functionality can be provided outside a database thereby relieving a database system of this burden.

Abstract: The subject disclosure pertains to databases as well as generation and utilization of keys. A desired or default number of values can be requested from a domain and allocated for use. These values can be utilized to generate surrogate keys. Subsequently or concurrently, the keys can be employed with respect to operations such as single pass loading of databases and/or data warehouses. Any unused keys can be returned and made available for use by other users or processes. Furthermore, the key generation functionality can be provided outside a database thereby relieving a database system of this burden.

Abstract: The subject invention pertains to systems and methods that facilitate generation of a database to support a multidimensional model. A database schema is generated in a top-down fashion. In particular, multidimensional structures and attributes such as cubes and dimensions can be defined. From such definition, a proposed database schema can be produced. This schema can subsequently be modified prior to or after populating the database. For example, a table or column could be added. Thereafter, the cubes and dimensions could be altered and a modified schema generated that preserves changes made to the schema. Accordingly, the subject systems and methods disclose an iterative approach that supports both top-down and bottom-up multidimensional database design.

Abstract: The subject disclosure pertains to databases as well as generation and utilization of keys. A desired or default number of values can be requested from a domain and allocated for use. These values can be utilized to generate surrogate keys. Subsequently or concurrently, the keys can be employed with respect to operations such as single pass loading of databases and/or data warehouses. Any unused keys can be returned and made available for use by other users or processes. Furthermore, the key generation functionality can be provided outside a database thereby relieving a database system of this burden.

Abstract: Systems and methods that cleanse data in Extract, Transform, Load environments (ETL), via employing an outlier detect component that is positioned in data pipeline to data warehouse(s). Such outlier detect component employs a cluster mining model to split data into normal and outlier data. Different predictive models can be employed to detect outliers in different data slices to enhance the accuracy of the predictions. In addition, a graphical user interface (GUI) enables a user to interact with cluster groups that are created and/or analyzed by the outlier detect component.