Provided are methods, systems, and computer readable media for user interaction with database methods and systems. In an aspect, a user interface can be generated to permit dynamic display generation to view data. The system can comprise a visualization component to dynamically generate one or more visual representations of the data to present in the state space.

Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins. The system can include at least one server that can receive a packetized data file generated from a data file. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file. The at least one server can index the packetized data file according to the at least one tag into a predetermined taxonomy, receive a data request including a plurality of parameters identifying attributes of packetized data, and deliver curated data selected according to the at least some of the plurality of parameters of the data request.

In one embodiment, a method comprises receiving a request for a particular user identification (ID) to perform a particular operation on a particular data object. An entitlement cache associates each operation that the particular user ID is entitled to perform with a first encoding of a tuple of a plurality of tuples. An object mapping cache associates each tuple of the plurality of tuples with a second encoding of each tuple of the plurality of tuples. An object mapping is used to determine a first tuple. The object mapping cache is used to determine a first vector of one of more left values based on the first tuple. The entitlement cache is used to determine a second vector of one or more value pairs. In response to identifying a match between the first vector and the second vector, the particular user ID is granted access to the particular data object.

A DBMS receives a database-access request that includes an instruction to non-destructively read a database table row. The DBMS assigns the request a TSN identifier and creates a TSN image that identifies all TSNs assigned to transactions that are not yet committed. The DBMS traverses a linked list of log entries that identifies a chronological history of transactions performed on the same row. The DBMS infers that the table row currently contains data stored by the most recently logged transaction that is not contained in the TSN image and that has thus been committed. The DBMS then continues to process statements of the transaction based on the assumption that the row contains the inferred value. The DBMS performs this procedure without acquiring a shared lock on the data page or on the index leaf page that points to the table row.

Example object storage systems, bookkeeping engines, and methods provide quota usage monitoring for control entities, such as accounts, users, and buckets. An object data store is configured to enable control entities to access data objects associated with each control entity. Data objects are mapped to the control entities and the data objects are processed to identify object usage values corresponding to each combination of data object and control entity. Total usage values are calculated for each control entity and used to determine a data object access response for a target data object and associated control entities.

Example object storage systems, bookkeeping engines, and methods provide quota usage monitoring for control entities, such as accounts, users, and buckets. An object data store is configured to enable control entities to access data objects associated with each control entity. Data objects are mapped to the control entities and the data objects are processed to identify object usage values corresponding to each combination of data object and control entity. Total usage values are calculated for each control entity and used to determine a data object access response for a target data object and associated control entities.

Systems and methods are provided for optimizing data structures to improve the data retrieval through the use of bucketing techniques. A number of objects within an environment is drastically reduced utilizing bucketing techniques. Within the buckets, items are sequentially organized such that location is quicker. Items, or keys, are aligned with the same hash value together in a bucket and a mapping of the hash value to the offset of the first key occurrence in that bucket. This guarantees each lookup operation is only two random read accesses. Systems and methods provided herein control the pressures on a system for garbage collection and minimize memory usage with minimal impacts on performance.

Systems and methods are provided for optimizing data structures to improve the data retrieval through the use of bucketing techniques. A number of objects within an environment is drastically reduced utilizing bucketing techniques. Within the buckets, items are sequentially organized such that location is quicker. Items, or keys, are aligned with the same hash value together in a bucket and a mapping of the hash value to the offset of the first key occurrence in that bucket. This guarantees each lookup operation is only two random read accesses. Systems and methods provided herein control the pressures on a system for garbage collection and minimize memory usage with minimal impacts on performance.

Data exploration as search over automated pre-generated plot objects can include data analytics systems with automated data mining and simplified user experience front ends. A computer-implemented method, that can be performed by the described data analytics systems, includes receiving a request for plots or plot types of a specified criteria; searching a plot object resource for plots relevant to the specified criteria, the plot object resource comprising an indexed repository of available plots; sorting and ranking the plots or plot types according to associated scores, the associated scores for each plot being based on information theoretic metrics relevant to a measure of interest; and providing plots satisfying a criteria of the sorting and the ranking to a source of the request.

In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.