Abstract: A computer implemented method, computer program product and system for data quality monitoring includes measuring a data quality of loaded data relative to a predefined data quality metric. The measuring the data quality includes identifying delta changes in at least one of the loaded data and the data quality rules relative to a previous measurement of the data quality of the loaded data. Logical calculus defined in the data quality rules is applied to the identified delta changes.

Abstract: Overflow access records (OARs) are managed in a database system. An OAR is created in response to receiving an update command for a data record and to the updated data record generated by the update command not fitting onto the page in the table where the data record was stored. The OAR that is created includes an index counter that indicates a number of indexes associated with the table. When an OAR is accessed in response to a query command, an identifier of the accessed OAR is replaced in the index by an identifier of a data record pointed to by the OAR, and the index counter in the accessed OAR is changed by a predefined amount. When the index counter reaches a predefined value, the accessed OAR is removed from the table.

Abstract: Embodiments relate to accessing a set of data tables in a source database. A set of table categories is provided for tables in the source database and a set of metrics is provided. For each table of the set of the data tables: the set of metrics is evaluated, the evaluated set of metrics is analyzed, and the table is categorized into one of the set of table categories using the result of the analysis. Information indicative of the table category of each table of the set of tables is output, and in response, a request to select data tables of the set of data tables is received according to a part of the table categories for data processing. A subset of data tables of the set of data tables is selected using the table categories for performing the data processing on the subset of data tables.

Abstract: A computer implemented method, computer program product and system for data quality monitoring includes measuring a data quality of loaded data relative to a predefined data quality metric. The measuring the data quality includes identifying delta changes in at least one of the loaded data and the data quality rules relative to a previous measurement of the data quality of the loaded data. Logical calculus defined in the data quality rules is applied to the identified delta changes.

Abstract: A data rule is created and processed by receiving an expression defining a logic of a rule and at least one logical variable, creating a rule definition including the expression and the at least one logical variable for binding each logical variable of the rule with at least one column, associating a characteristic enabling comparison of columns with a first logical variable of the rule definition, and storing the characteristic as part of the rule definition.

Abstract: A data profile request is handles by utilizing data in a distributed file system. Tabular data is extracted from a data source and stored in a distributed file system. Each table in the tabular data is split by columns, which are each stored in separate files in a set of physical nodes of the distributed file system. In response to a data profiling request, a master node determines, based on the profiling request, which groups of files are needed to be on a same physical node in order to perform the profiling analysis. The master node creates jobs using physical nodes that contain the requisite files needed for each job.

Abstract: Method, system, and computer program product to facilitate selection of data nodes configured to satisfy a set of requirements for processing client data in a distributed computing environment by providing, for each data node of a plurality of data nodes in the distributed computing environment, nodal data describing the respective data node of the plurality of data nodes, receiving a request to process the client data, the client data being identified in the request, retrieving the set of requirements for processing the client data, and analyzing the retrieved data policy and the nodal data describing at least one of the data nodes, to select a first data node of the plurality of data nodes as a delegation target, the first data node selected based on having a higher suitability level for satisfying the set of requirements than a second data node of the plurality of data nodes.

Abstract: A method, system and computer program product provides a first characteristic associated with a first data set and a single data value, and a second characteristic associated with a second data set; and calculates at least one of: 1) the similarity of the first data set with the second data set based on the first and second characteristics, 2) the similarity of the first data set with the single data value based on the first characteristic and the single data value, 3) confidence indicating how well the first characteristic reflects properties of the first data set based on the first characteristic, and 4) confidence indicating how well the similarity of the first data set with the single data value reflects properties of the single data value based on the first characteristic and the single data value.

Abstract: An aspect includes a computer-implemented method for detecting one or more multi-column composite key column sets. The method includes accessing a plurality of first columns, each first column representing a parameter, each first column including a set of distinct parameter values of its respective parameter, each distinct parameter value being stored in association with one or more object identifiers. Two or more of the first columns are selected for use as a current candidate column set, the current candidate column set including at least a first and a second candidate column, the current candidate column set being of a current cardinality. The method also includes determining, by comparing object-identifiers, whether for the current candidate column set at least one tuple of parameter values exists with parameter values respectively stored in association with two or more shared ones of the object identifiers to identify a multi-column composite key column set.

Abstract: An embodiment of a method for enhanced content browsing includes loading a web page in a user interface; detecting entities of a first specified type in the web page by an analysis service; tagging the detected entities in the web page; calling an action service associated with the analysis service when a detected entity is activated; and displaying a result of the action service in the user interface. Embodiments of systems for enhanced content browsing are also provided.

Abstract: A computer implemented method, computer program product and system for data quality monitoring includes measuring a data quality of loaded data relative to a predefined data quality metric. The measuring the data quality includes identifying delta changes in at least one of the loaded data and the data quality rules relative to a previous measurement of the data quality of the loaded data. Logical calculus defined in the data quality rules is applied to the identified delta changes.

Abstract: In an embodiment of the invention, a method for data profiling incorporating an enterprise service bus (ESB) coupling the target and source systems following an extraction, transformation, and loading (ETL) process for a target system and a source system is provided. The method includes receiving baseline data profiling results obtained during ETL from a source application to a target application, caching the updates, determining current data profiling results within the ESB for cached updates, and triggering an action if a threshold disparity is detected upon the current data profiling results and the baseline data profiling results.

Abstract: In an embodiment of the invention, a method for data profiling incorporating an enterprise service bus (ESB) coupling the target and source systems following an extraction, transformation, and loading (ETL) process for a target system and a source system is provided. The method includes receiving baseline data profiling results obtained during ETL from a source application to a target application, caching the updates, determining current data profiling results within the ESB for cached updates, and triggering an action if a threshold disparity is detected upon the current data profiling results and the baseline data profiling results.

Abstract: A data rule is created and processed by receiving an expression defining a logic of a rule and at least one logical variable, creating a rule definition including the expression and the at least one logical variable for binding each logical variable of the rule with at least one column, associating a characteristic enabling comparison of columns with a first logical variable of the rule definition, and storing the characteristic as part of the rule definition.

Abstract: A method, system and computer program product provides a first characteristic associated with a first data set and a single data value, and a second characteristic associated with a second data set; and calculates at least one of: 1) the similarity of the first data set with the second data set based on the first and second characteristics, 2) the similarity of the first data set with the single data value based on the first characteristic and the single data value, 3) confidence indicating how well the first characteristic reflects properties of the first data set based on the first characteristic, and 4) confidence indicating how well the similarity of the first data set with the single data value reflects properties of the single data value based on the first characteristic and the single data value.

Abstract: An improved method for handling instant messaging sessions in an instant messaging server is disclosed. The method comprises providing global annotators for annotating instant messaging communications, wherein instant messaging users are being able to select for a private enhancement stack at least one of the following: annotators and look-up services; providing instant messaging users with a capability to obtain contextual information by activating enhancement functions provided by said private enhancement stack; establishing an instant messaging session between a set of instant messaging users; and supporting sharing said contextual information among said set of instant messaging users as part of the instant messaging session.

Abstract: According to one embodiment of the present invention, a method for social bookmarking and tagging documents is provided. According to one embodiment of the present invention, a method comprises receiving a new document in a tagging server having a storage unit with stored tags associated with a preexisting document and comparing the new document with the tags using a processor to find matching instances between parts of the new document and the tags. Each matching instance in the new document is marked with tag information. The marked up new document is delivered for display on a display unit.

Abstract: An embodiment of a method for enhanced content browsing includes loading a web page in a user interface; detecting entities of a first specified type in the web page by an analysis service; tagging the detected entities in the web page; calling an action service associated with the analysis service when a detected entity is activated; and displaying a result of the action service in the user interface. Embodiments of systems for enhanced content browsing are also provided.