A building system including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive an event from an event source, the event indicating a data value associated with the event source occurring at a particular time. The instructions cause the one or more processors to identify contextual data of a database that provides a contextual description of the event, generate an enriched event by enriching the event with the contextual data, the enriched event including the data value, the particular time, and the contextual data, and provide the enriched event to a consuming application configured to operate based on the enriched event.

A system can include one or more processing modules and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processing modules and perform receiving, from an electronic device, a search query from a user of a plurality of users; processing first data; and facilitating displaying a set of items. Processing the first data can comprise determining one or more keywords by capturing the one or more keywords during a time window; creating a feature set of second data associated with at least a portion of the plurality of users; determining a set of items of the item set as being based at least in part on an item vector representation and a keyword vector representation; determining a respective purchase probability associated with each item of the set of items of the item set; ranking the set of items.

Methods and systems are provided for searching information in a distributed data processing system. A system for processing a semantic search query where the system may include a memory and a processor coupled to the memory being configured to, receive a structured search query, process the structured search query to deconstruct into query elements, identify a set of connected elements that define a data source associated with the received structured search query based on a processed query element, process the query elements to determine one or more command data element types associated with the received structured search query, and process data associated with the defined data source according to a command data element type to develop a semantic search query resultant data set.

A method for performing data encryption and application-agnostic querying of encrypted data includes identifying, via a processor, selected data for encryption. Encryption is applied to the selected data, to produce encrypted data. A query is received at the processor, the query originating from a software application. The query is translated into a modified query compatible with the encrypted data. The processor causes execution of the modified query, to produce query results. The query results include a subset of the encrypted data. The query results are sent to the software application without decrypting the subset of the encrypted data.

Aspects of the disclosure relate to a data wrapper engine. A computing platform may receive a query comprising a request for data stored as a CLOB. The computing platform may obtain, from a data storage system, the data stored as a CLOB. The computing platform may generate a file wrapper for the data, wherein generating the file wrapper comprises converting the CLOB to a VARCHAR object and storing the VARCHAR object in the file wrapper. The computing platform may generate, using the VARCHAR object stored in the file wrapper, a SQL response to the query. The computing platform may execute the dynamic SQL response to generate a response to the query. The computing platform may send, to a user device, the response to the query and commands directing the user device to display the response to the query, which may cause the user device to display the response.

Methods and systems for generating a response to a query using an AI engine. One method includes translating a received query into a profile comprised of at least a query type and a priority. The method further includes collecting, based on the profile, a first set of data items from a first data file storing data categorized as general public data and a second set of data items from a second data file storing data categorized as personal private information and applying an AI correlation engine to the second set of data items to determine PPI-agnostic relevancy indicators for PPI included in the second set of data items. The method further includes masking, based on the query cluster profile, the second set of data items by replacing the PPI included in the second set of data items with the PPI-agnostic relevancy indicators.

A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a request to access a portion of a building graph of the building from a system, the building graph including a plurality of nodes and a plurality of edges, the plurality of nodes representing entities of the building and the plurality of edges representing relationships between the entities of the building. The instructions cause one or more processors to determine whether the system has access to the portion of the building graph based on a policy indicated by the plurality of nodes and edges of the building graph and provide the portion of the building graph to the system in response to a determination that the system has access to the portion of the building graph.

Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations using at least one of query-compliant hash databases, segmentation-based hashing models, and hash segmentation models.

Methods, systems, and computer-readable media are disclosed herein that create inter-communication capabilities between servers that use technologically diverse and/or incompatible operating systems. Herein, a driver is leveraged to create these inter-communication capabilities by inserting a source server generated message into a table at the target server. The target server automatically executes code in the message and generates results therefrom. The target serer communicates the results to the source server, where the source server again leverages the driver to handle the results.

Non-relational database operations are invoked to provide results consistent with commands specified in a relational query language. A request to access data in a non-relational database is received that includes one or more commands specified in a query language for accessing data according to a relational data scheme. The request may be evaluated to determine one or more Application Programming Interfaces (APIs) to invoke operations at the non-relational database that provide a result consistent with the commands specified in the query language. The determined APIs are executed and a result returned for the request based on the execution of the APIs.