International Business Machines Corporation

Matu Agarwal

Ramkumar Ramalingam

Siddalinga Swamy

Nagarjuna Surabathina

Anket Jain

Jothiponsundar Radhakrishnan

Sameep Mehta

John Kurian

Mudit Mehrotra

Subramanian Krishnan

Hima Patel

Srinivasan Nanduri

Ramya Rajendiran

Sayli Balonkar

Subhojeet Pramanik

Saptarshi Misra

Shramona Chakraborty

Nitin Gupta

An embodiment computes a plurality of similarity scores, each similarity score in the plurality of similarity scores measuring a similarity of task data of a first data transformation task to data of a stored data transformation in a plurality of stored data transformations, wherein each of the plurality of stored data transformations comprises a stored data transformation program, each stored data transformation program comprising a data transformation from a first data format to a second data format. An embodiment generates, from a first stored data transformation program in the plurality of stored data transformations, a generated data transformation program. An embodiment performs, by modifying a plurality of records described by the first data transformation task into a second plurality of records according to the generated data transformation program, the first data transformation task.

Semantically similar historical example based data transformation

Methods, computer program products, and/or systems are provided that perform the following operations: obtaining source schema metadata, wherein the source schema metadata is associated with fields of a source schema; obtaining target schema metadata with a target schema, wherein the target schema metadata is associated with fields of a target schema; determining, for each field of the source schema and each field of the target schema, a representation for each field based, at least in part, on the source schema metadata or the target schema metadata associated with each field; and providing the representation for each field of the source schema and each field of the target schema for use in generating data mappings between the source schema and the target schema.

Metadata based mapping assist

Techniques are described with regard to application integration management. An associated computer-implemented method includes receiving from at least one user a request to map a plurality of data fields associated with a workflow during an application integration session and automatically mapping all data fields among the plurality of data fields for which a mapping confidence value is greater than or equal to a confidence level threshold set at a default value. The method further includes receiving mapping evaluations from each of the at least one user for each automatic data field mapping based upon the confidence level threshold set at the default value, processing at least one confidence level threshold adjustment input selection from one or more of the at least one user, and deriving at least one candidate default confidence level threshold value based upon the at least one confidence level threshold adjustment input selection.

Application integration mapping management based upon configurable confidence level threshold

Embodiments provide a computer-implemented method for automatic detection of an event from an enterprise application, comprising: initiating a CRUD action connector of an integration platform; providing a business object name to the action connector; randomly obtaining a sample record from the enterprise application; creating a dummy record in the enterprise application, wherein the dummy record has a dummy record ID and a first time range within which the dummy record is created; and searching for a first timestamp field in a business object schema to determine whether the first timestamp field is queryable, wherein the first timestamp field indicates when the dummy record is created. If the first timestamp field exists, and the first timestamp field is queryable, then a first event indicating creation of the dummy record is detectable; if the first timestamp field does not exist, then the first event is undetectable.

Automatic events detection from enterprise applications

Managing idempotent operations is provided. A request to perform an operation on a system of record is received from a client via a network. An idempotency resolver is queried to determine whether a result corresponding to the operation is located in a mapping table of the idempotency resolver. In response to determining that the result corresponding to the operation is in the mapping table of the idempotency resolver, the result corresponding to the operation that is located in the mapping table of the idempotency resolver is sent to the client via the network.

Managing idempotent operations while interacting with a system of record

Systems, methods, and computer program products to perform an operation comprising receiving a request from a first application to receive business events from a second application, deploying a first connector selected according to a set of parameters specified in the request, receiving, by the first connector from the second application, a first unit of event data of a first format, and converting the first unit of event data to a second format specified in the request.

Integrating heterogeneous business events in hybrid cloud environments

Systems, methods, and computer program products to perform an operation comprising obtaining a set of ports based on monitoring repeated attempts by a client application to establish a connection on ports signaled by a server application, establishing one or more secure connections between a client computer executing the client application to the server computer executing the server application based on the set of ports, opening each port of the set of ports to receive requests from the client application, listening on each of the set of ports for a first request from the client application to the server application, receiving, from the client application, the first request on a first port of the set of ports, and transmitting the first request to the server application.

Integrating applications with endpoints using dynamic port negotiation

A system, method, and/or computer program product manages outbound transactions in a computing environment. At least one communication request is received during a pre-defined time period. The at least one communication request is processed to result in at least one processed data. A packet comprising the at least one processed data corresponding to the received at least one communication request is generated responsive to satisfying at least one pre-defined condition. The packet is delivered to an enterprise information system (EIS) within the computing environment.

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Bengaluru, India

Matu Agarwal