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.

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: 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: 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: A method, system and computer program product for identifying reference data tables in an Extract-Transform-Load (ETL) process, by identifying, by operation of one or more computer processors, at least a first reference data operator in the process, wherein the first reference data operator references one or more tables and evaluating at least a first table referenced by the reference data operator to determine whether the first table is a reference data table by assigning a score to the first table, wherein the score is indicative of the likelihood that the first table is a reference data table and wherein a reference data table contains a set of values that describes other data.

Abstract: A computer-implemented method for the placing of information assets, including: discovering information about a new or changed information asset; determining one or more characteristics of an ideal location for the information asset; determining one or more characteristics of one or more locations in an information technology environment; determining the compatibility of the information asset with the location(s) by comparing the characteristic(s) of the ideal location to the characteristic(s) of the actual location(s); reporting the compatibility to a user; and optionally suggesting alternative placement locations. The locations may be part of one or more locational schemas.

Abstract: A computer-implemented method for the placing of information assets, including: discovering information about a new or changed information asset; determining one or more characteristics of an ideal location for the information asset; determining one or more characteristics of one or more locations in an information technology environment; determining the compatibility of the information asset with the location(s) by comparing the characteristic(s) of the ideal location to the characteristic(s) of the actual location(s); reporting the compatibility to a user; and optionally suggesting alternative placement locations. The locations may be part of one or more locational schemas.

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 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 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 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 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: A method, computer program product, and system for information governance crowd sourcing by, responsive to receiving a data quality exception identifying one or more data quality errors in a data store, identifying a performance level required to correct the data quality errors, selecting, from a crowd hierarchy, a first one or more crowds meeting the defined performance level, wherein the crowd hierarchy ranks the performance of one or more crowds, and routing, by operation of one or more computer processors, the one or more data quality errors to the selected crowds for correction.

Abstract: A method, computer program product and system for managing tenant-specific data sets in a multi-tenant system, by receiving a request to convert a data set in a physical data store from a first type of multi-tenant deployment to a second type of multi-tenant deployment, retrieving tenant identification metadata identifying a tenant making the request, modifying the data set in the physical data store based on the second type of multi-tenant deployment, and modifying metadata associated with an abstraction layer to allow the modified data set to be accessed.

Abstract: A method, computer program product and system for managing tenant-specific data sets in a multi-tenant system, by receiving a request to convert a data set in a physical data store from a first type of multi-tenant deployment to a second type of multi-tenant deployment, retrieving tenant identification metadata identifying a tenant making the request, modifying the data set in the physical data store based on the second type of multi-tenant deployment, and modifying metadata associated with an abstraction layer to allow the modified data set to be accessed.

Abstract: A method, system and computer-usable medium are disclosed for controlling the distribution of data. Data stored in a datastore is filtered according to a data release policy to generate filtered data. A data release policy agreement, corresponding to the data release policy, is generated. The filtered data and the data release policy agreement are then provided to an information consumer. The data release policy agreement is then used to enforce the data release policy.

Abstract: A computer-implemented method for the placing of information assets, including: discovering information about a new or changed information asset; determining one or more characteristics of an ideal location for the information asset; determining one or more characteristics of one or more locations in an information technology environment; determining the compatibility of the information asset with the location(s) by comparing the characteristic(s) of the ideal location to the characteristic(s) of the actual location(s); reporting the compatibility to a user; and optionally suggesting alternative placement locations. The locations may be part of one or more locational schemas.