A computer implemented method may include: storing key-value pairs in an index in persistent storage, where indirect nodes of the index include pointers, where each pointer identifies an index portion and includes a generation identifier for the identified index portion, where the index comprises a plurality of snapshots associated with a plurality of generations; receiving a request to read data of a particular snapshot of the index, wherein the particular snapshot is associated with a particular generation of the plurality of generations; in response to the request, performing a traversal starting from a particular root node associated with the particular generation; and providing the requested data based on the traversal.

Methods and systems of inserting image files into a container are described herein. One method includes overseeing a submission of images to containers, retrieving a job of inserting images into the container, and inserting images into the container by, for each of the plurality of images: (i) reading and analyzing source data including the image; (ii) opening the container, which includes records, where the image will be stored; (iii) determining whether the source data is valid to be entered into a record; (iv) responsive to a determination that the source of data is valid, preparing metadata; (v) writing the record into the container; and (vi) marking a status flag/mark of the record as being updated while writing the record into the container.

Systems and methods for providing capture, archival, and analysis of data sent by mobile devices over a carrier network, with the systems and methods not requiring the installation of any additional software on the mobile devices, the systems and methods also providing for alerts to be generated based on the content of the data.

Aspects of the present disclosure address systems, methods, and devices for tracking object dependencies in a cloud database system. An object dependency created between a referencing object and a referenced object is detected. Based on detecting the object dependency, a dependency record is generated. The dependency record includes dependency information describing the object dependency between the reference object and the referenced object. The dependency record is stored in a database of dependency records.

A type restriction contextually modifies an existing type descriptor. The type restriction is imposed on a data structure to restrict the values that are assumable by the data structure. The type restriction does not cancel or otherwise override the effect of the existing type descriptor on the data structure. Rather the type restriction may declare that a value of the data structure's type is forbidden for the data structure. Additionally or alternatively, the type restriction may declare that an element count allowable for a data structure's type is forbidden for the data structure. Type restriction allows optionality (where only a singleton value for a data structure is allowed), empty sets (where no value for a data structure is allowed), and multiplicity (where only a limited element count for a data structure) to be injected into a code set independent of data type. Type restriction allows certain optimizations to be performed.

As described herein, a system, method, and computer program are provided for normalizing a JSON structure. In use, input defining at least one entity type of a target data structure is received. A source JSON structure is identified. The source JSON structure is traversed for a particular JSON data type to map values in the source JSON structure to corresponding entities of the target data structure based on the at least one entity type defined for the target data structure, where each entity of the target data structure is defined using a relative path between nodes of the source JSON structure.

Systems, apparatuses, and methods are provided for enhancing users' overall experiences with physical items by supplementing their physical experiences with digital experiences. According to an embodiment, a user uses an electronic device to scan a smart tag associated with an item to obtain an item identifier of the item. The electronic device sends the item identifier to a server, which selects digital content related to the item and sends the selected digital content to the user's electronic device for display.

Blockchain-enabled crypto asset systems allow a user to control how advertisers access the user's personal data; allow crypto asset compensation in exchange for social amplification; and track asset allocation. Asset allocation tracking is made the focus of these specifications. Payments made via blockchain tracking, and the distribution of any revenues derived from cost savings provided to terrestrial, satellite or digital radio broadcasters back to music rights holders and other related groups are provided. These rights holders typically like to incentivize consumers, and by using the crypto assets or tokens created by the present invention, a reward for listening/consuming may be provided. Further, payments for industry services to the rights holder are contemplated to include, but not be limited to any Performance Rights Organizations (PROs), Record Labels, Publishing Companies—Administrators, Managers, Agents or any fractional rights holders or owners who would hold claim against any such revenues.

A system stores data, such as sensor data or other operational data, on a plurality of storage volumes in a sequence so as to allow for interpolations or other approximations of the data using a subset of the storage volumes in response to a request for information regarding that data. For example, a plurality of devices connect to the system to provide operational data, which is then stored in a specified sequence on a specified set of volumes. In response to a request for operational information regarding some or all of the devices, the system reads at least one of the volumes, and approximates the values of the data over a specified period of time. In some embodiments, the data may be buffered prior to storage, and a jitter analyzer determines whether the incoming data is anomalous relative to a baseline, which may be determined using related data sets.

Data can originate from at least one device. The data can be received by at least one network element corresponding to a network. The data can be sent over the network by the at least one device. The data can be analyzed to determine a presence of one or more keywords or key phrases in the data received. A determination can be performed to determine whether or not to filter or block the data. The data can be blocked or filtered according to the determination.