Abstract: The present disclosure is directed to continuous data profiling (CDP). Entities may house large amounts of disorganized and/or duplicative data. To organize and standardize data across a data set, the data may be profiled. However, profiling large data set can be inefficient and give rise to security problems, as profiling datasets typically requires exporting a dataset to a third-party profiling runtime environment. To remedy these issues, the present disclosure is directed to a continuous data profiling platform that comprises a CDP manager communicatively coupled to a client's database. The CDP manager provides access to a CDP API that may install CDP tools on a client's native database environment, enabling the database management system to profile datasets within the client's native database environment, which results in a more efficient use of computing resources and more secure process of profiling datasets.

Abstract: The present disclosure is directed to systems and methods for securely reflecting data from a local datastore. In one example embodiment, a user may connect local datastores to edge nodes that may facilitate communication between a third-party data management hub and the local datastores. A user operating the third-party data management hub may request to read/write certain data at the local datastores (that the user owns). Data from the local datastore may be generated in response to the request. The responsive data may be transmitted over an encrypted data session to the data management hub, where the responsive data is reflected to the user on a user interface. The responsive data is stored in a volatile memory store and not moved from the persistent memory at the local datastore. Upon termination of the encrypted data session, the volatile memory store is erased to preserve the privacy/security of the underlying data.

Abstract: The present disclosure is directed to continuous data profiling (CDP). Entities may house large amounts of disorganized and/or duplicative data. To organize and standardize data across a data set, the data may be profiled. However, profiling large data set can be inefficient and give rise to security problems, as profiling datasets typically requires exporting a dataset to a third-party profiling runtime environment. To remedy these issues, the present disclosure is directed to a continuous data profiling platform that comprises a CDP manager communicatively coupled to a client's database. The CDP manager provides access to a CDP API that may install CDP tools on a client's native database environment, enabling the database management system to profile datasets within the client's native database environment, which results in a more efficient use of computing resources and more secure process of profiling datasets.

Abstract: The present disclosure is directed to continuous data profiling (CDP). Entities may house large amounts of disorganized and/or duplicative data. To organize and standardize data across a data set, the data may be profiled. However, profiling large data set can be inefficient and give rise to security problems, as profiling datasets typically requires exporting a dataset to a third-party profiling runtime environment. To remedy these issues, the present disclosure is directed to a continuous data profiling platform that comprises a CDP manager communicatively coupled to a client's database. The CDP manager provides access to a CDP API that may install CDP tools on a client's native database environment, enabling the database management system to profile datasets within the client's native database environment, which results in a more efficient use of computing resources and more secure process of profiling datasets.

Abstract: Requests received at a service platform may be processed either synchronously or asynchronously, based on, for example, a determination of the expected response time for the service request. Some embodiments may include separate hardware infrastructures and/or may support service requests designated for asynchronous processing.

Abstract: Requests received at a service platform may be processed either synchronously or asynchronously, based on, for example, a determination of the expected response time for the service request. Some embodiments may include separate hardware infrastructures and/or may support service requests designated for asynchronous processing.

Abstract: Requests received at a service platform may be processed either synchronously or asynchronously, based on, for example, a determination of the expected response time for the service request. Some embodiments may include separate hardware infrastructures and/or may support service requests designated for asynchronous processing.

Abstract: Requests received at a service platform may be processed either synchronously or asynchronously, based on, for example, a determination of the expected response time for the service request. Some embodiments may include separate hardware infrastructures and/or may support service requests designated for asynchronous processing.