Abstract: Techniques are presented for performing enhanced real-time data statement monitoring and control without requiring modifications to data analysis client applications or data storage environments. A data statement processing layer is implemented between the data analysis client applications and the data storage environments. A data statement management agent interacts with an event bus in the data statement processing layer. The data statement management agent accesses event objects on the event bus that are generated during the processing of data statements. Rules are applied to select particular event objects. The selected event objects are transformed into event messages that are delivered to the client applications to monitor the processing of the data statements. Control commands received from the client application are transformed into event objects that are issued to the event bus to control the processing of the data statement.

Abstract: Techniques are presented for performing enhanced real-time data statement monitoring and control without requiring modifications to data analysis client applications or data storage environments. A data statement processing layer is implemented between the data analysis client applications and the data storage environments. A data statement management agent interacts with an event bus in the data statement processing layer. The data statement management agent accesses event objects on the event bus that are generated during the processing of data statements. Rules are applied to select particular event objects. The selected event objects are transformed into event messages that are delivered to the client applications to monitor the processing of the data statements. Control commands received from the client application are transformed into event objects that are issued to the event bus to control the processing of the data statement.

Abstract: Techniques are presented for performing enhanced real-time data statement monitoring and control without requiring modifications to data analysis client applications or data storage environments. A data statement processing layer is implemented between the data analysis client applications and the data storage environments. A data statement management agent interacts with an event bus in the data statement processing layer. The data statement management agent accesses event objects on the event bus that are generated during the processing of data statements. Rules are applied to select particular event objects. The selected event objects are transformed into event messages that are delivered to the client applications to monitor the processing of the data statements. Control commands received from the client application are transformed into event objects that are issued to the event bus to control the processing of the data statement.

Abstract: Techniques are presented for performing enhanced real-time data statement monitoring and control without requiring modifications to data analysis client applications or data storage environments. A data statement processing layer is implemented between the data analysis client applications and the data storage environments. A data statement management agent interacts with an event bus in the data statement processing layer. The data statement management agent accesses event objects on the event bus that are generated during the processing of data statements. Rules are applied to select particular event objects. The selected event objects are transformed into event messages that are delivered to the client applications to monitor the processing of the data statements. Control commands received from the client application are transformed into event objects that are issued to the event bus to control the processing of the data statement.