Abstract: Provided are techniques for social media bot to Representational State Transfer (REST) proxy for data systems. An adapter for a social media application and message to Representational State Transfer (REST) mappings are provided. A social media bot is created to represent a data system component. The social media bot and the adapter are used to enable the data system component to interact with the social media application by using the message to REST mappings to map social media messages for the social media application and REST calls that are used to access the data system component.

Abstract: Provided are techniques for social media bot to Representational State Transfer (REST) proxy for data systems. An adapter for a social media application and message to Representational State Transfer (REST) mappings are provided. A social media bot is created to represent a data system component. The social media bot and the adapter are used to enable the data system component to interact with the social media application by using the message to REST mappings to map social media messages for the social media application and REST calls that are used to access the data system component.

Abstract: Provided are techniques for interactive social media access to data systems. A social media gateway interface with adapters for each of multiple social media applications is provided. An event is published from a data system to at least one of the multiple social media applications. A social media bot is created to represent the data system. The social media bot and one of the adapters are used to enable the data system to interact with at least one of the multiple social media applications.

Abstract: Provided are techniques for interactive social media access to data systems. A social media gateway interface with adapters for each of multiple social media applications is provided. An event is published from a data system to at least one of the multiple social media applications. A social media bot is created to represent the data system. The social media bot and one of the adapters are used to enable the data system to interact with at least one of the multiple social media applications.

Abstract: The program controls access to data objects stored on a tangible device of a computer system within an enterprise. A user request to access a data object identifies a user role by looking up the user identification in an enterprise directory. The program determines whether the role of the user is permitted access to a system and also determines a risk score representing a risk of dissemination of the requested data object. The program compares the risk score of the requested data object to a pre-configured threshold value of the requested data object and controls access to the requested data object, based on the role of the user, and the risk score associated with the risk of disseminating the requested data object.

Abstract: Provided are techniques for personalizing data system components and data sources as chatbots in a group chat session. A social media gateway interface with a chat adapter for a chat application is provided. One or more chatbots that each represent a corresponding component of a data system are created. The one or more chatbots and the chatbot adapter are used to manage each corresponding component of the data system.

Abstract: Provided are techniques for personalizing data system components and data sources as chatbots in a group chat session. A social media gateway interface with a chat adapter for a chat application is provided. One or more chatbots that each represent a corresponding component of a data system are created. The one or more chatbots and the chatbot adapter are used to manage each corresponding component of the data system.

Abstract: The program controls access to data objects stored on a tangible device of a computer system within an enterprise. A user request to access a data object identifies a user role by looking up the user identification in an enterprise directory. The program determines whether the role of the user is permitted access to a system and also determines a risk score representing a risk of dissemination of the requested data object. The program compares the risk score of the requested data object to a pre-configured threshold value of the requested data object and controls access to the requested data object, based on the role of the user, and the risk score associated with the risk of disseminating the requested data object.

Abstract: Techniques describe generating an end-to-end web application. A user interface (UI) design tool generates a first application that includes a UI having one or more UI elements. One or more classifications of server properties (e.g., REST resource names, JSON names, CRUD actions, etc.) are mapped to each of the UI elements. A data schema is generated from the classifications. A machine-readable description of the data schema and mapped classifications is generated. The UI design tool generates a second application from the machine-readable description. The second application is an implementation of the UI of the first application and the machine-readable description.

Abstract: In an approach for providing data privacy in information integration systems, a method performed during compilation of an information integration job receives information regarding a data flow structure of the job to be executed, said data flow structure comprising at least one source system, one or more target entities, and at least one operator for modifying output data provided by the source system. The method determines data exit points at which output data are provided to the target entities and determines at least one non-trusted target entity. The method determines, for each non-trusted target entity, if at least one data field included in the output data provided to the non-trusted target entity is classified as sensitive information, and, if so, modifies the information integration job by including a masking operator directly before a data exit point associated with the non-trusted target entity in order to mask said sensitive information.

Abstract: In an approach for providing data privacy in information integration systems, a method performed during compilation of an information integration job receives information regarding a data flow structure of the job to be executed, said data flow structure comprising at least one source system, one or more target entities, and at least one operator for modifying output data provided by the source system. The method determines data exit points at which output data are provided to the target entities and determines at least one non-trusted target entity. The method determines, for each non-trusted target entity, if at least one data field included in the output data provided to the non-trusted target entity is classified as sensitive information, and, if so, modifies the information integration job by including a masking operator directly before a data exit point associated with the non-trusted target entity in order to mask said sensitive information.

Abstract: Provided are to a computer program product, system, and method for determining linkage metadata of content of a target document to source documents.

Abstract: Provided are techniques for secure matching supporting fuzzy data. A first bloom filter for a first data element is retrieved, wherein each of the characters in the data element has been encrypted with a beginning offset position of the character and encrypted with an end offset position of the character to produce two encrypted values that are added to the first bloom filter. A second bloom filter for a second data element is retrieved. The first bloom filter and the second bloom filter are compared to determine whether there is a match between the first data element and the second data element.

Abstract: Provided are techniques for secure matching supporting fuzzy data. A first bloom filter for a first data element is retrieved, wherein each of the characters in the data element has been encrypted with a beginning offset position of the character and encrypted with an end offset position of the character to produce two encrypted values that are added to the first bloom filter. A second bloom filter for a second data element is retrieved. The first bloom filter and the second bloom filter are compared to determine whether there is a match between the first data element and the second data element.

Abstract: A user interface is generated that displays a set of selectable terms from a glossary of business terms and is configured to generate a business metadata query that identifies a forum with member profiles. A data movement executable is generated that identifies the forum and an analytical processing environment. The data movement executable is deployed and data is moved from the forum into the analytical processing environment. Analytics are performed on the data from the forum. Metadata is identified from the analytics. The glossary of business terms is updated using the metadata from the analytics.

Abstract: Provided are to a computer program product, system, and method for determining linkage metadata of content of a target document to source documents. In response to a determination that a target fragment in a target document matches a source fragment in a source document, linkage metadata is generated for the target fragment.

Abstract: Provided are techniques for deleting sensitive information in a database. One or more objects in a database that are accessed by a statement are identified. It is determined that at least one object among the identified one or more objects contains sensitive information by checking an indicator for the at least one object. One or more security policies associated with the at least one object are identified. The identified one or more security policies are implemented for the at least one object to delete sensitive information.

Abstract: Provided are techniques for deleting sensitive information in a database. One or more objects in a database that are accessed by a statement are identified. It is determined that at least one object among the identified one or more objects contains sensitive information by checking an indicator for the at least one object. One or more security policies associated with the at least one object are identified. The identified one or more security policies are implemented for the at least one object to delete sensitive information.

Abstract: Ontologies are used to comprehend regular expressions, by selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base, parsing the regular expression to identify at least one fragment of the regular expression, identifying one or more assertions in the assertion base corresponding to one of the identified fragments, identifying, for each identified assertion, an associated node in the ontology, and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.

Abstract: Mechanisms are provided, in a data processing system comprising a primary system-on-a-chip (SOC) and a pool of SOCs, for processing a workload. The data processing system receives a cloud computing workload submitted and allocates the cloud computing workload to the primary SOC. An analytics monitor of the data processing system monitors a bus of the data processing system for at least one first signal indicative of an overloaded condition of the primary SOC. A Power, Reset, and Clocking (PRC) hardware block powers-up one or more auxiliary SOCs in the pool of SOCs in response to the analytics monitor detecting the at least one first signal. The workload is then distributed across the primary SOC and the one or more auxiliary SOCs in response to powering-up the one or more SOCs. The workload is then executed by the primary SOC and the one or more SOCs.