Ab Initio Technology LLC

Amit Weisman

Scott Studer

David Phillimore

Joel M Gould

Joseph Skeffington Wholey, Iii

Ian Schechter

Edward Alan Bach

Robert Parks

Cory Christopher James Fantasia

Matthew Douglas Becker

Joseph Skeffington Wholey

A data processing system with a dataset multiplexer that enables applications to be written to specify access to datasets as operations on logical datasets. During execution of an application by the data processing system, operations that access a dataset are implemented by accessing an entry in a dataset catalog for the logical dataset. That entry includes information to access the physical data source storing the logical dataset, including conversion of data from the format of the physical data source to the format of the logical dataset. An entry in the catalog may be created based on registration of a data source with the dataset multiplexer and may be updated automatically based on changes in storage of the dataset. This maintenance of the catalog may be partially or totally automated such that the system automatically adjusts to any changes in storage of the dataset without need for modification of any application.

Dataset multiplexer for data processing system

A data processing system that receives user input specifying datasets on which operations are performed with user interfaces that enable manipulation of hierarchical groups of datasets. A user interface may enable individual datasets or a previously defined group of datasets to be aggregated into another grouping. The groupings may be scoped, including by persona of users, such that, when a user is prompted to specify one or more datasets as a target of an operation by the data processing system, the available choices are limited to datasets that have a scope encompassing that user. The interfaces may prompt a user to select a grouping within the hierarchy that contains datasets on which the operation can be performed. Upon selection of a grouping with multiple datasets as a target of an operation that is performed on datasets singly, the operation may be performed on each dataset in the selected group.

Data processing system with manipulation of logical dataset groups

A computer-implemented method for integrating client portals of underlying data processing applications through a shared log record, including: storing one or more log records that are each shared by the process management application and the version control application; receiving instructions through a user interface that integrates, through the shared one or more log records, the process management client portal with the version control client portal; in response to the receiving of the instructions, executing the received instructions, the executing of the received instructions including: selecting, by the version control application, a particular version of the rule from the multiple versions of the rule stored in the system storage; and transitioning, by the process management application, the particular version of the rule from the first state of the plurality of states to the second, different state of the plurality of states.

User interface that integrates plural client portals in plural user interface portions through sharing of one or more log records

A method for applying a rule to data includes receiving data from a data source and processing a particular data unit of an ordered number of data units derived at least in part from the received data. The processing includes determining a set of data units including an ordered subset of data units from the ordered number of data units, each data unit of the ordered subset being related to the particular data unit and occurring before the particular data unit in the ordered number of data units. Prior to applying the rule the state variable is updated to a state that would result from iterating in order through the set of data units and, for each data unit of the ordered subset, applying the rule to the data unit. The rule is then applied to the particular data unit including reading the updated value of the state variable.

Specifying and applying rules to data

This specification describes technologies relating to generating transforms based on rule sets. In general, one aspect described in this specification can be embodied in methods that include receiving a rule set including execution cases, where at least one execution case in the rule set includes one or more trigger conditions and a specification of an output that is to be generated when the one or more trigger conditions are all satisfied. The methods may further include generating a control structure including a sequence of rows corresponding to one or more execution cases in the rule set. Each row may include a sequence of one or more trigger conditions and information specifying the output for a corresponding execution case. For at least one of the trigger conditions, when the trigger condition is failed, the control structure may direct processing to skip at least one row in the sequence of rows.

System for transform generation

Specifying rules for processing data included in fields of elements of a dataset includes rendering user interface elements associated with a respective condition. The user interface elements include: first subsets of user interface elements, at least some of which are associated with an input value derived from at least one field, and second subsets of user interface elements, each configured to receive user input associated with a respective condition. Conditions are applied to at least a first element of the dataset based on user input received from at least some of the user interface elements, in response to receiving user input for a first user interface element associated with a first field. Instructions are generated for applying one or more selected conditions associated with fewer than all of the user interface elements, the selected conditions including at least a condition associated with the first user interface element.

Evaluating rules applied to data

A computing system processes data units using one of at least two different modes of applying a rule. In a first mode, data units are received in a particular order and are processed including writing an updated value to at least one state variable based on a result of applying the rule to the data unit. In a second mode, a selection of particular data units is processed including determining a first set of data units including an ordered subset of data units that occur before the particular data unit from the number of data units, prior to applying the rule to the particular data unit, updating at least one state variable to a state that would result from processing the first set of data units in the first mode, and applying the rule to the particular data unit including reading the updated value of the state variable.

Among other things, one aspect includes receiving one or more mapped relationships between a given output and one or more inputs represented by input variables, at least one of the mapped relationships including a transformational expression, the transformational expression defining an output of a mapped relationship based on at least one input variable mapped to an element of an input dataset; receiving identification of elements of an output dataset mapped to outputs of respective mapped relationships; generating output data according to the transformational expression based on input data from the input dataset associated with the element of the input dataset mapped to the input variable; determining validation information in response to the generated output data based on validation criteria defining one or more characteristics of valid values associated with one or more of the identified elements of the output dataset; and presenting visual feedback based on the determined validation information.

Mapping dataset elements

Mapping one or more elements of an input dataset to one or more elements of an output dataset includes: receiving in an interface one or more mapped relationships between a given output and one or more inputs represented by input variables, at least one of the mapped relationships including a transformational expression executable on a data processing system, the transformational expression defining an output of a mapped relationship based on at least one input variable mapped to an element of an input dataset; receiving in the interface identification of elements of an output dataset mapped to outputs of respective mapped relationships; generating output data from the data processing system according to the transformational expression based on input data from the input dataset associated with the element of the input dataset mapped to the input variable; determining validation information in response to the generated output data based on validation criteria defining one or more characteristics of valid values associated with one or more of the identified elements of the output dataset; and presenting in the interface visual feedback based on the determined validation information.

Growing community of inventors

Bedford, MA, United States of America

Amit Weisman