Abstract: A method, system and computer program product for aggregate query optimization. A dataset with plurality of values divided into dimensions and measurements is received. Pre-calculated values obtained by aggregates of measurements' values respective of plurality of combinations of dimensions' values are calculated and stored for one or more aggregate measurements of interest. Responsive to an input received of a first set of one or more dimensions and a second set of one or more aggregate measurements of interest, an aggregate result value of a respective member of the second set is calculated and outputted by retrieval of the pre-calculated value therefor respective of members of the first set.

Abstract: A method, system, and computer program product for conserving resources in segment trend analytics query processing using event data. A set of events of an entity is aggregated and sorted from earliest to last, and sequentially processed to incrementally set a subset therefrom. A predicate function for determining segment membership is applied respective of a linear timeline of events of the subset represented by a time of an event processed. A data record comprising identification of the entity, time, and respective segment is generated and stored. Data records are aggregated by respective identification of a segment and a time comprised therein, and at least one analytic measure respective of entities which identification thereof is comprised therein, is calculated and stored. An indication of the at least one analytic measure calculated respective of a segment and a time queried is returned, whereby determination of a trend of the segment is enabled.

Abstract: A method, system and computer program product for aggregate query optimization. A dataset with plurality of values divided into dimensions and measurements is received. Pre-calculated values obtained by aggregates of measurements' values respective of plurality of combinations of dimensions' values are calculated and stored for one or more aggregate measurements of interest. Responsive to an input received of a first set of one or more dimensions and a second set of one or more aggregate measurements of interest, an aggregate result value of a respective member of the second set is calculated and outputted by retrieval of the pre-calculated value therefor respective of members of the first set.

Abstract: A method, system, and computer program product for conserving resources in segment trend analytics query processing using event data. A set of events of an entity is aggregated and sorted from earliest to last, and sequentially processed to incrementally set a subset therefrom. A predicate function for determining segment membership is applied respective of a linear timeline of events of the subset represented by a time of an event processed. A data record comprising identification of the entity, time, and respective segment is generated and stored. Data records are aggregated by respective identification of a segment and a time comprised therein, and at least one analytic measure respective of entities which identification thereof is comprised therein, is calculated and stored. An indication of the at least one analytic measure calculated respective of a segment and a time queried is returned, whereby determination of a trend of the segment is enabled.

Abstract: Systems and methods for testing software programs during development are described that are provided in part by a software testing framework that can create unit tests for testing individual modules of code, and create corresponding integration tests for testing those code modules during later integration testing, without duplication of effort. The framework receives function calls, each corresponding to a unit test function. The framework generates unit test code based on the function calls, which is executed on a development device. Upon successful execution of the unit test code, the framework receives an indication to test the function calls in a test environment. The framework identifies dependencies of the function calls. The framework then generates integration test code corresponding to the function calls. The integration test code includes dependency resolution code for the evaluated dependencies. The generated integration test code is then deployed in a test environment.

Abstract: Systems and methods for testing software programs during development are described that are provided in part by a software testing framework that can create unit tests for testing individual modules of code, and create corresponding integration tests for testing those code modules during later integration testing, without duplication of effort. The framework receives function calls, each corresponding to a unit test function. The framework generates unit test code based on the function calls, which is executed on a development device. Upon successful execution of the unit test code, the framework receives an indication to test the function calls in a test environment. The framework identifies dependencies of the function calls. The framework then generates integration test code corresponding to the function calls. The integration test code includes dependency resolution code for the evaluated dependencies. The generated integration test code is then deployed in a test environment.

Abstract: Database organizational techniques and structures may impose storage and computational limits that render particular operations too slow to effectively execute within speed guarantees (e.g. allowing a function to be completed within 300 ms). Thus, sometimes it is inefficient to access and maintain certain data, particularly in large data environments. One such environment relates to event logging for security, fraud, and risk purposes. When hundreds or thousands of events can occur in short time periods, database queries can be slow. By using particular algorithms and data structuring, however, event log data can be utilized in a flexible and speedy manner in various embodiments that may still enable service guarantees to be met. In some cases, this may involve updating one or more event counters for one or more particular periods of time, which may be indicative of event velocity (i.e. how often certain events are occurring).

Abstract: Methods and systems are presented for providing a framework to generate computer models for detecting fraudulent electronic transactions. The framework selects and retrieves a set of transaction records from an online database system based on one or more criteria. The framework then enriches the set of transaction records with additional data related to the set of transaction records. The additional data of each transaction record may include transaction data of another transaction record selected based on a common attribute shared with the transaction record. The framework serializes the transaction data and the additional data associated with the set of transaction records. A set of features is derived based on analyzing the serialized data. The framework then generates a computer model for detecting fraudulent electronic transaction based on the set of features.

Abstract: Systems and methods for testing software programs during development are described that are provided in part by a software testing framework that can create unit tests for testing individual modules of code, and create corresponding integration tests for testing those code modules during later integration testing, without duplication of effort. The framework receives function calls, each corresponding to a unit test function. The framework generates unit test code based on the function calls, which is executed on a development device. Upon successful execution of the unit test code, the framework receives an indication to test the function calls in a test environment. The framework identifies dependencies of the function calls. The framework then generates integration test code corresponding to the function calls. The integration test code includes dependency resolution code for the evaluated dependencies. The generated integration test code is then deployed in a test environment.

Abstract: Systems and methods for testing software programs during development are described that are provided in part by a software testing framework that can create unit tests for testing individual modules of code, and create corresponding integration tests for testing those code modules during later integration testing, without duplication of effort. The framework receives function calls, each corresponding to a unit test function. The framework generates unit test code based on the function calls, which is executed on a development device. Upon successful execution of the unit test code, the framework receives an indication to test the function calls in a test environment. The framework identifies dependencies of the function calls. The framework then generates integration test code corresponding to the function calls. The integration test code includes dependency resolution code for the evaluated dependencies. The generated integration test code is then deployed in a test environment.

Abstract: Methods and systems are presented for providing a framework to generate computer models for detecting fraudulent electronic transactions. The framework selects and retrieves a set of transaction records from an online database system based on one or more criteria. The framework then enriches the set of transaction records with additional data related to the set of transaction records. The additional data of each transaction record may include transaction data of another transaction record selected based on a common attribute shared with the transaction record. The framework serializes the transaction data and the additional data associated with the set of transaction records. A set of features is derived based on analyzing the serialized data. The framework then generates a computer model for detecting fraudulent electronic transaction based on the set of features.

Abstract: Database organizational techniques and structures may impose storage and computational limits that render particular operations too slow to effectively execute within speed guarantees (e.g. allowing a function to be completed within 300 ms). Thus, sometimes it is inefficient to access and maintain certain data, particularly in large data environments. One such environment relates to event logging for security, fraud, and risk purposes. When hundreds or thousands of events can occur in short time periods, database queries can be slow. By using particular algorithms and data structuring, however, event log data can be utilized in a flexible and speedy manner in various embodiments that may still enable service guarantees to be met. In some cases, this may involve updating one or more event counters for one or more particular periods of time, which may be indicative of event velocity (i.e. how often certain events are occurring).