Ab Initio Technology LLC

Eventuality, Inc.

Scott Studer

Amit Weisman

Joel M Gould

David Phillimore

Craig W Stanfill

Jed Roberts

Joseph Skeffington Wholey, Iii

Jonathan Baird Homer

Joseph Skeffington Wholey

Joel Gould

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

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for impact analysis. One of the methods includes receiving information about at least two logical datasets, the information identifying, for each logical dataset, a field in that logical dataset and format information about that field. The method includes receiving information about a transformation identifying a first logical dataset from which the transformation is to receive data and a second logical dataset to which the transformed data is provided. The method includes receiving one or more proposed changes to at least one of the fields. The method includes analyzing the proposed changes based on information about the transformation and information about the first logical dataset and the second logical dataset. The method includes calculating metrics of the proposed change based on the analysis. The method also includes storing information about the metrics.

Impact analysis

An event may be scheduled by establishing a connection between an event initiator and an automated scheduling agent, receiving an instruction from the event initiator to generate an event, interrogating the event initiator to identify one or more invitees for an event, referencing contact information for each of the invitees, using the automated scheduling agent to contact the invitee with a message that elicits invitee availability, using the automated scheduling agent to receive a response to the message that includes a set of two or more potential times for the event, relating the response of at least some members of the group that includes the invitee and the event initiator, and in response to relating the response from the more than two of the group, scheduling a event.

Using an automated scheduling agent to generate events and coordinate schedules

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

A method implemented by a data processing system for processing data items of a stream of data items, including: accessing a specification that represents the executable logic, wherein a state of the specification for a particular value of the key specifies one or more portions of the executable logic that are executable in that state; receiving, over an input device or port, data items of a stream of data; for a first one of the data items of the stream, identifying a first state of the specification for a value of the key associated with that first one of the data items; processing, by the data processing system, the first one of the data items according to one or more portions of executable logic that are represented in the specification as being associated with the first state.

Executable logic for processing keyed data in networks

One or more mappings each define a correspondence between one or more input attributes of an input entity and one or more output attributes of an output entity, where the input entity includes one or more key attributes identified as part of a unique key, and the output entity includes one or more key attributes identified as part of a unique key. Generating instances of the output entity includes: determining one or more mapped input attributes of the input entity that correspond to each of the key attributes of the output entity, based on the mappings; and comparing the mapped input attributes with the key attributes of the input entity to determine whether the mapped input attributes include: (1) all of the key attributes of the input entity, or (2) fewer than all of the key attributes of the input entity.

Mapping attributes of keyed entities

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

One or more mappings each define a correspondence between input attributes of an input entity and output attributes of an output entity, where the input out output entities each include one or more key attributes identified as part of a unique key. Computing result information, displayed in a user interface, includes: processing instances of a first input entity to generate instances of a first output entity; determining one or more mapped input attributes of the first input entity that correspond to each of the key attributes of the first output entity; generating the instances of the first output entity based on the determined one or more mapped input attributes; computing a total number of instances of the first input entity that were processed; and computing a total number of instances of the first output entity that were generated.

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.

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Georgetown, MA, United States of America

Scott Studer