Abstract: Various methods, apparatuses/systems, and media for providing centralized seamless data access are disclosed. A processor builds a data mesh architecture in a cloud environment. The data mesh architecture includes a single central hub account provided between a plurality of data producer accounts and a plurality of data consumer accounts. The processor causes the plurality of data producer accounts to publish different types of data received from a plurality of data sources onto the single central hub account along with corresponding metadata. The processor also causes the single central hub account to: incorporate the metadata into an application; receive a request from the plurality of data consumer accounts to access the published different types of data from the single central hub account; and control who from the plurality of data consumer accounts can access the published different types of data from the single central hub account based on the metadata.

Abstract: Systems and methods for providing automated data governance are disclosed. The system may include a plurality of data environments, a metadata repository storing data attributes and classification requirements, a policy repository, one or more processors, and a memory in communication with the one or more processors storing instructions to execute steps of a method. The system may receive a first dataset from a first data environment having a first dataset ID. The system may transmit the dataset ID to the metadata repository and the metadata repository may return an indication that the first dataset includes at least one data attribute and at least one associated classification requirement. The system may transmit the classification requirement to the policy repository and receive classification code associated with the classification requirement. The system may modify the first dataset by transmitting instructions to the first data environment to execute the classification code.

Abstract: Systems and methods for providing automated data governance are disclosed. The system may include a plurality of data environments, a metadata repository storing data attributes and classification requirements, a policy repository, one or more processors, and a memory in communication with the one or more processors storing instructions to execute steps of a method. The system may receive a first dataset from a first data environment having a first dataset ID. The system may transmit the dataset ID to the metadata repository and the metadata repository may return an indication that the first dataset includes at least one data attribute and at least one associated classification requirement. The system may transmit the classification requirement to the policy repository and receive classification code associated with the classification requirement. The system may modify the first dataset by transmitting instructions to the first data environment to execute the classification code.

Abstract: Systems and methods for providing automated data governance are disclosed. The system may include a plurality of data environments, a metadata repository storing data attributes and classification requirements, a policy repository, one or more processors, and a memory in communication with the one or more processors storing instructions to execute steps of a method. The system may receive a first dataset from a first data environment having a first dataset ID. The system may transmit the dataset ID to the metadata repository and the metadata repository may return an indication that the first dataset includes at least one data attribute and at least one associated classification requirement. The system may transmit the classification requirement to the policy repository and receive classification code associated with the classification requirement. The system may modify the first dataset by transmitting instructions to the first data environment to execute the classification code.

Abstract: Disclosed are methods and systems for monitoring a computing process. For instance, the method may include: receiving a rules file including a set of rules for monitoring the computing process; receiving a configuration file for processing the rules file; retrieving a data set including a plurality of records associated with the computing process based on one or more sources of data included in the received configuration file; filtering the retrieved data set by applying one or more filter queries included in the received configuration file to the retrieved data set; applying the set of rules included in the received rules file to the filtered data set; and generating an output indicating results of applying the set of rules to the filtered data set.