Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for solutions for efficiently and reliably perform sensor-based predictive data analysis. This need can be addressed by, for example, solutions for performing cross-sensor predictive data analysis. In one example, a method for performing cross-sensor predictive data analysis includes identifying sensor input data objects comprising one or more image data objects; determining sensor feature data objects based on the sensor input data objects; generating predictions for a target predictive entity associated with the sensor input data objects by processing the sensor feature data objects using a cross-sensor predictive inference model; and performing prediction-based actions based on the cross-sensor predictions.

Abstract: There is a need for solutions for efficiently and reliably maintain data security policies. This need can be addressed by, for example, solutions for performing dynamic security enforcement in a data interaction platform. In one example, a method includes determining a security profile for a data object; receiving a data access request associated with the data object, wherein the data access request is associated with one or more runtime parameters associated with the data access request; determining, based at least in part on the one or more runtime parameters; determining, based at least in part on the selected security environment and the security profile, a selected access level of the plurality of access levels for the data object; and processing the data access request based at least in part on the selected access level.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for solutions for efficiently and reliably maintain data security policies. This need can be addressed by, for example, solutions for performing dynamic security enforcement in a data interaction platform. In one example, a method includes determining a security profile for a data object; receiving a data access request associated with the data object, wherein the data access request is associated with one or more runtime parameters associated with the data access request; determining, based at least in part on the one or more runtime parameters; determining, based at least in part on the selected security environment and the security profile, a selected access level of the plurality of access levels for the data object; and processing the data access request based at least in part on the selected access level.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for solutions for efficiently and reliably perform sensor-based predictive data analysis. This need can be addressed by, for example, solutions for performing cross-sensor predictive data analysis. In one example, a method for performing cross-sensor predictive data analysis includes identifying sensor input data objects comprising one or more image data objects; determining sensor feature data objects based on the sensor input data objects; generating predictions for a target predictive entity associated with the sensor input data objects by processing the sensor feature data objects using a cross-sensor predictive inference model; and performing prediction-based actions based on the cross-sensor predictions.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: A swing training device includes a central shaft having a first end and a second end, and a plurality of air resistance blades secured to the central shaft adjacent the second end of the central shaft. Each of the air resistance blades includes a proximal edge secured adjacent the central shaft and a distal edge extending away from the central shaft, wherein each of the air resistance blades includes at least one air hole adjacent the proximal edge. The device preferably includes first and second air resistance blades secured to the central shaft and the blades are pivotally secured adjacent the central shaft for rotation about an axis substantially parallel to a longitudinal axis of the central shaft.