Abstract: A method includes receiving, at a search toolbar, a search query from a machine in a network. The machine has an associated machine profile for participating in the network as an entity. The machine profile includes a machine identifier and machine metadata. A query type is determined from the search query. A search context for the machine is determined using a semantic graph of the network. From a set of services for the network, one or more relevant services to respond to the search query are identified based on the query type and the search context. The search query is applied to the one or more relevant services to obtain a set of responses. A set of relevant results for the search query is determined from the set of responses. The set of relevant results is transmitted to the machine.

Abstract: Techniques and solutions are described for defining and deploying application content. Content, such as objects, can be created in a repository defined for a first application. A package can be defined based at least in part on the objects for use in a computing environment only requiring the first application. A second package can be defined based at least in part on the objects for use in a computing environment in which both the first application and a second application are available. Content can be moved between repositories defined for a single application and repositories defined for multiple applications. Content can be added to, or removed from, a client computing system as applications available on a client computing system change.

Abstract: Methods for using SQL statements to access an application-server-managed database are disclosed herein. In some embodiments, a user sends, either directly or indirectly (i.e., remotely) a SQL statement from an ODBC application or server, respectively, to an application server that preprocesses SQL statements for accessing data from a centralized database. The application server may have a SQL endpoint, and access to the SQL endpoint may be determined by a user's logon credentials, a user's presentation of a SAML token, or a user's presentation of a valid certificate. The application server may then parse the SQL statement and determine the user's authorization to access certain objects in the centralized database based on a SQL handler design-time configuration. A result from the statement may be sent back to the user either directly or indirectly and exposed.

Abstract: Techniques for integrating applications using a container image of an integration flow are disclosed.

Abstract: Disclosed herein are system, method, and device embodiments for implementing semantic discovery. An embodiment operates by retrieving a plurality of entities from a database instance. A semantic graph representation of the plurality of entities is generated within a graphical user interface. Context information is received from a user. A focus node is determined from the plurality of nodes using the context information. A semantic context of the focus node is determined, wherein the semantic context includes the focus node, a subset of the plurality of nodes, and subset of the plurality of edges. Responsive to the receiving, a visual indication of the semantic context is displayed within the graphical user interface.

Abstract: Techniques and solutions are described for storing and processing metadata. A target system sends a request to a source system to identify extensions to one or more specified database artefacts. The source system identifies one or more software objects that include metadata extensions to the one or more specified database artefacts and sends at least a portion of such metadata elements to the target system in response to the request. The source system can expose APIs, such as APIs in a standard format, to the target system to assist in requesting and retrieving metadata from the source system.

Abstract: Techniques and solutions are described for providing flexible access to data during execution of a data access request. Multiple instances of a data artifact are created, where different instances of the data artifact provide access to different data sources having data associated with the data access request. When a data access request is executed, a particular data artifact instance can be used during execution of the data access request. In some cases, switching logic can be used to determine which data artifact instance is to be used in executing the data access request. Also described are technologies for facilitating creation of data artifact instances corresponding to a modelling artifact.

Abstract: Computer-readable media, methods, and systems are disclosed for utilizing partition-based locking mechanisms to improve execution of overlapping data definition language (DDL) and data manipulation language (DML) operations on a partitioned database table. A first node receives a DML statement associated with a first transaction. The first node acquires a intent exclusive lock on table metadata. A second node receives a DDL statement associated with a second transaction and acquires an exclusive metadata lock on the partitioned table metadata. Next, an intent exclusive lock is acquired for the relevant partition table data on the second node and an exclusive lock on table metadata on the second node. The second transaction waits for the DML operation of the first transaction to complete. Then the first transaction is committed. Finally exclusive locks are acquired on table data and metadata and the second transaction is executed and committed.

Abstract: Methods, systems, and computer-readable storage media for providing a first instance of a database system within the cloud computing environment, determining that scale out of the database system is to be executed, and in response, providing a second instance of the database system within the cloud computing environment, the first instance and the second instance collectively defining a cluster, establish a remote direct memory access (RDMA) connection between the first instance and the second instance, copying data stored within the first instance to a data store of the second instance over the RDMA connection, and configuring the first instance to replicate a first transaction log to the second instance over the RDMA connection, and receiving, by each of the first instance and the second instance, requests from one or more client devices.

Abstract: A method includes receiving a message query from an entity identifier participating in a social network. The message query specifies one or more entities, one or more requirements, and one or more constraints. A set of message query parameters is generated based on the message query. A set of queries for a semantic graph of the social network is generated based on the set of message query parameters. The set of queries is applied to the semantic graph to obtain a set of query results. A message context of the entity identifier is determined based on the set of query results and the set of message query parameters. A set of messages from a message repository is determined based on the message context. The set of messages can be presented on a client computer associated with the entity identifier.

Abstract: Disclosed herein are system, method, and computer program product embodiments for remotely executing a robotic process automation (RPA) bot as a function. An embodiment operates by generating an RPA bot function in a first network environment and transmitting the RPA bot function to an application located in a second network environment. The embodiment further operates by receiving results data from the application based on an execution of the RPA bot function in the second network environment. Subsequently, the embodiment operates by generating results user interface (UI) data based on the results data and transmitting the results UI data to a user input/output (I/O) device located in the first network environment.

Abstract: Computer-readable media, methods, and systems are disclosed for generating and debugging bytecode for a rule including embedded debug functions. One or more predefined breakpoints are included in the embedded debug functions. When a breakpoint is reached, an execution state for the rule is stored including one or more local variables for the rule. Execution may be resumed by retrieving the stored execution state.

Abstract: In an example embodiment, a process is introduced into a machine learned model where additional results are output by the machine learned model in addition to those results that would be obtained through use of the trained model itself. In some example embodiments, these additional results may be random or semi-random to introduce results that might otherwise not have been recommended by the machine learned model. By introducing such additional results in a controlled way, it becomes possible to reduce biases caused by a self-reinforcing feedback loop while still presenting users with accurate machine learned model results.

Abstract: Provided is a system and method for dynamic configuration of a multi-objective optimization function and identifying an optimal set of records based thereon. In one example, the method may include receiving a set of data records and priority values to be applied to the set of data records, generating an objective function from an objective function template stored in a memory device, wherein the generating comprises dynamically configuring parameter values of the objective function based on the priority values, executing the objective function on the set of data records and identifying an optimal subset of data records from among the set of data records based on the dynamically configured parameter values of the executing objective function, and displaying identifiers of the identified optimal subset of data records.

Abstract: A data consistency analyzer identifies data inconsistencies proactively, providing insights into the financial, business, and technical impact to enable users to make decisions regarding resolution of the inconsistencies. The data consistency analyzer may provide additional insights such as criticality of inconsistencies. Data inconsistencies may be caused by configuration changes to master data. As described herein, data consistency is improved by keeping a constant watch on various master data changes which is one of the major sources towards causing inconsistency and taking necessary actions based on further assessments. Using master data change as initial lead, the inconsistencies would be identified that are not mere database or technical inconsistencies. Along with the primary option of inconsistency check based on master data change, additional options to scan the system based on overall run and run per selection, or application level specific checks will be provided.

Abstract: Disclosed herein are system, method, and computer program product embodiments for validating input requests. In an embodiment, an application program interface (API) can receive a input request from a client device or server. The API can validate the input requests based on client-side or server-side technology implemented by the client device or server. In response to validating a input request from the client device and server, the database's framework can validate the database request before processing the input request. In response to failing to validate an input request at the client device, server, or database level, a machine-learning algorithm can be used to determine how to resolve a possible error, which may have caused the failure to validate the input request.

Abstract: This application provides an example method, system, and computer-readable medium for identifying potential account take over fraud attacks through monitoring of user credential login attempts across a network of websites. One example method includes identifying a login attempt to a particular website. The method further includes determining whether the login user credentials correspond to site-specific user credentials for the particular website. The method also includes in response to determining that the login user credentials correspond to the site-specific user credentials, determining whether the login attempt to the particular website is allowed by a first allowance rule associated with the first RTW, and in response to determining that the login attempt to the particular website is allowed by the first allowance rule, setting a first allowance indicator to indicate that the login attempt to the particular website is to be allowed by the first allowance rule.

Abstract: A system may include a nested probabilistic data structure that contains nested tables, each table having electronic records associated with different hash functions. A data analytics engine may receive information about a detected action, including action characteristics. In response to the detected action, insertions are executed into the nested probabilistic data structure at multiple levels based on the action characteristics (each insertion incrementing an entry in the data structure selected using the hash functions). The engine then continues to monitor for detected actions. Upon receipt of a query associated with the monitored action (including a query type), a key and level of nesting associated with the query is determined based on the query type. The hash functions are executed on the determined key to retrieve a value from each electronic record in an appropriate nested table, and a minimum of the retrieved values is output in response to the query.