Abstract: Systems and methods for processing data service requests are disclosed. The system may receive a data service request comprising a unique process code and a data input. The system may parse the data service request to determine the unique process code. The system may retrieve a data operation sequence based on the unique process code. The data operation sequence may comprise an ordered list of executable operations. The system may generate an operation service request based on a first executable operation and the data input. The system may execute the operation service request.

Abstract: Systems and methods for the automated building and configuration of integration services are disclosed. The system may store and maintain various integration pattern templates comprising preprogrammed integration services (e.g., web services, APIs, etc.) needing defined operation details to be functional. The system may receive a specification file and a service specific parameter, parse the specification file and the service specific parameter to determine an operation detail, and extract the operation detail from the specification file and the service specific parameter. The system may input the operation detail into the integration pattern template to generate a service configuration file. The service configuration file may be deployed in a service integration platform.

Abstract: Systems and methods for the automated building and configuration of integration services are disclosed. The system may store and maintain various integration pattern templates comprising preprogrammed integration services (e.g., web services, APIs, etc.) needing defined operation details to be functional. The system may receive a specification file and a service specific parameter, parse the specification file and the service specific parameter to determine an operation detail, and extract the operation detail from the specification file and the service specific parameter. The system may input the operation detail into the integration pattern template to generate a service configuration file. The service configuration file may be deployed in a service integration platform.

Abstract: Systems and methods for processing data service requests are disclosed. The system may receive a data service request comprising a unique process code and a data input. The system may parse the data service request to determine the unique process code. The system may retrieve a data operation sequence based on the unique process code. The data operation sequence may comprise an ordered list of executable operations. The system may generate an operation service request based on a first executable operation and the data input. The system may execute the operation service request.

Abstract: A system and method for the dynamic scaling of concurrent processing threads are provided. The system may include a scheduler, a master controller, a thread controller, a process invoker, a reprocess validator, and a server cluster comprising various managed servers. The master controller may to generate processing thread messages during an initial processing run. Thereafter, the master controller may dynamically scale the processing thread messages based on process performance data and system performance data.

Abstract: A system and method for the dynamic scaling of concurrent processing threads are provided. The system may include a scheduler, a master controller, a thread controller, a process invoker, a reprocess validator, and a server cluster comprising various managed servers. The master controller may to generate processing thread messages during an initial processing run. Thereafter, the master controller may dynamically scale the processing thread messages based on process performance data and system performance data.

Abstract: Systems and methods for processing data service requests are disclosed. The system may receive a data service request comprising a unique process code and a data input. The system may parse the data service request to determine the unique process code. The system may retrieve a data operation sequence based on the unique process code. The data operation sequence may comprise an ordered list of executable operations. The system may generate an operation service request based on a first executable operation and the data input. The system may execute the operation service request.

Abstract: Data Brick is a state of the art solution to access the data through high speed data access mechanism that is exceptionally fast and is associated with low CPU consumption cost. The Data Brick stores relatively static reference data in the form of a programming language Load Module. The Load module contains the data can be launched into the application program memory and this data can be accessed very efficiently in a programming language program. Static application data that is accessed by multiple applications in a mainframe Batch environment is a prime candidate for the Data Brick.

Abstract: A system is disclosed for improving the efficiency and quality of real-time extracting, transforming, and/or loading data using customer information control system (CICS) interval control element (ICE) chain processing.

Abstract: This disclosure relates to improving the efficiency and quality of real-time extracting, transforming, and/or loading data using customer information control system (CICS) interval control element (ICE) chain processing.

Abstract: This disclosure relates to improving the efficiency and quality of real-time extracting, transforming, and/or loading data using customer information control system (CICS) interval control element (ICE) chain processing.

Abstract: Data Brick is a state of the art solution to access the data through high speed data access mechanism that is exceptionally fast and is associated with low CPU consumption cost. The Data Brick stores relatively static reference data in the form of a programming language Load Module. The Load module contains the data can be launched into the application program memory and this data can be accessed very efficiently in a programming language program. Static application data that is accessed by multiple applications in a mainframe Batch environment is a prime candidate for the Data Brick.

Abstract: Data Brick is a state of the art solution to access the data through high speed data access mechanism that is exceptionally fast and is associated with low CPU consumption cost. The Data Brick stores relatively static reference data in the form of a programming language Load Module. The Load module contains the data can be launched into the application program memory and this data can be accessed very efficiently in a programming language program. Static application data that is accessed by multiple applications in a mainframe Batch environment is a prime candidate for the Data Brick.

Abstract: The present disclosure generally relates to accessing data, and more particularly, to systems and methods for improving the efficiency and quality of real-time extracting, transforming, and/or loading data using customer information control system (CICS) interval control element (ICE) chain processing.

Abstract: The present disclosure generally relates to accessing data, and more particularly, to systems and methods for improving the efficiency and quality of real-time extracting, transforming, and/or loading data using customer information control system (CICS) interval control element (ICE) chain processing.

Abstract: The present disclosure generally relates to accessing data, and more particularly, to systems and methods for improving the efficiency and quality of real-time extracting, transforming, and/or loading data using customer information control system (CICS) interval control element (ICE) chain processing.

Abstract: Data Brick is a state of the art solution to access the data through high speed data access mechanism that is exceptionally fast and is associated with low CPU consumption cost. The Data Brick stores relatively static reference data in the form of a programming language Load Module. The Load module contains the data can be launched into the application program memory and this data can be accessed very efficiently in a programming language program. Static application data that is accessed by multiple applications in a mainframe Batch environment is a prime candidate for the Data Brick.

Abstract: The present invention provides an online messaging architecture configured to process incoming request messages and provide reply messages in an efficient manner. The invention reduces processing overhead within a mainframe computing environment were individual requests are treated as individual transactions by instead storing requests within a queue, spawning necessary processes according to the queue and processing multiple transactions in a pseudo batch manner.

Abstract: A batch messaging management system configured to process incoming request messages and provide reply messages in an efficient manner is disclosed. Instead of treating individual requests as individual transactions, the system reduces processing overhead within a mainframe computing environment by storing requests within a queue, spawning batch jobs according to the queue and processing multiple transactions using batch job processing.