Abstract: Methods, systems, and computer-readable storage media for automatically detecting potential performance degradation in a data analytics system including multiple servers, actions include determining a threshold performance score for each server of the multiple servers during an initial period, the threshold performance scores being determined at least partially based on a report generated by a respective server, and, after the initial period, and for each server: intermittently calculating a performance score, comparing the performance score to the threshold performance score to determine whether a violation indicating performance degradation occurs, and transmitting a notification to report consecutive violations.

Abstract: Impact analysis of an object is performed by selecting an object and determining impacted objects corresponding to the object. A type of the object is determined. A query is formulated and executed to retrieve relationship objects from a relationship table matching the type of the selected object. Nested properties associated with the relationship objects for the individual relationship objects are determined iteratively. A parent property associated with the nested properties is identified. A query is formulated and executed to fetch dependent values corresponding to the dependent values. The dependent values are added to a list. A query is formulated and executed to determine impacted objects corresponding to the dependent values. The impacted objects are displayed in a graphical chart.

Abstract: Methods, systems, and computer-readable storage media for automatically detecting potential performance degradation in a data analytics system including multiple servers, actions include determining a threshold performance score for each server of the multiple servers during an initial period, the threshold performance scores being determined at least partially based on a report generated by a respective server, and, after the initial period, and for each server: intermittently calculating a performance score, comparing the performance score to the threshold performance score to determine whether a violation indicating performance degradation occurs, and transmitting a notification to report consecutive violations.

Abstract: Impact analysis of an object is performed by selecting an object and determining impacted objects corresponding to the object. A type of the object is determined. A query is formulated and executed to retrieve relationship objects from a relationship table matching the type of the selected object. Nested properties associated with the relationship objects for the individual relationship objects are determined iteratively. A parent property associated with the nested properties is identified. A query is formulated and executed to fetch dependent values corresponding to the dependent values. The dependent values are added to a list. A query is formulated and executed to determine impacted objects corresponding to the dependent values. The impacted objects are displayed in a graphical chart.

Abstract: Insights gleaned from statistical analysis of a dataset of an in-memory database, may be obtained with high throughput. In response to a user query, a Data Inference Engine (DIE) provides statistically valid measure/dimension combinations of the dataset to an analysis tool. A master procedure may be executed at search query runtime, allowing timely filtering of output of the analysis tool based on columns provided in the user request. Inputs/outputs of the master procedure may avoid storing physical tables, reducing maintenance. The master procedure may comprise individual sub-procedures (e.g. determining outliers, percentage contribution) executed in parallel. Output of sub-procedure(s) may be formatted per a final output format, facilitating union therebetween. Embodiments may filter certain measure/dimension combinations received from the DIE. For example, embodiments may consider only unique measure/dimension combinations (irrespective of dimension order), a limited number of combinations (e.g.

Abstract: Insights gleaned from statistical analysis of a dataset of an in-memory database, may be obtained with high throughput. In response to a user query, a Data Inference Engine (DIE) provides statistically valid measure/dimension combinations of the dataset to an analysis tool. A master procedure may be executed at search query runtime, allowing timely filtering of output of the analysis tool based on columns provided in the user request. Inputs/outputs of the master procedure may avoid storing physical tables, reducing maintenance. The master procedure may comprise individual sub-procedures (e.g. determining outliers, percentage contribution) executed in parallel. Output of sub-procedure(s) may be formatted per a final output format, facilitating union therebetween. Embodiments may filter certain measure/dimension combinations received from the DIE. For example, embodiments may consider only unique measure/dimension combinations (irrespective of dimension order), a limited number of combinations (e.g.