Disclosed herein are system, method, and computer program product embodiments for generating synthetic data records with database constraints using generative adversarial networks (GAN). The method can include training, by using a generator loss function, a generator neural network of a generator model of the GAN to generate a scaling factor and a cluster vector for a datum of a continuous variable of a continuous column of a data table, and a datum for a categorical variable of a categorical column of the data table. The generator loss function includes a penalty component determined based on a set of data constraints related to the continuous column or the categorical column.

One embodiment provides a method, including: receiving, at a service provider and from a user, a request for computation of a function, wherein the request includes a description of the function to be computed and requirements of the user; identifying, from data sources accessible to the service provider, a plurality of data sources to participate in the computation in view of the requirements and the description of the function, wherein each of the plurality of data sources includes data of a data owner and constraints on use of the data; identifying a multi-party computation protocol and parameters of the multi-party computation protocol for performing the computation; and running the computation of the function using the data of the plurality of data sources and in view of the requirements of the user and the constraints of the plurality of data sources.

A method comprises storing a plurality of entity profiles; applying a predetermined first set of rules to a plurality of attribute-value pairs of the plurality of entity profiles; identifying a first set of entity profiles that satisfy the predetermined first set of rules; identifying a second set of entity profiles that satisfy the predetermined second set of rules; and updating a first attribute-value pair of the first and second sets of entity profiles by adding a first label to the first attribute-value pair responsive to determining the first set of entity profiles and the second set of entity profiles share a common entity profile.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retrieving local information on a user device include detecting itinerary information stored by a first application on a user device, and identifying a travel destination based on the detected itinerary information. The travel destination is communicated to a second application executable on a user device, and the travel destination is stored in association with the second application. The second application is adapted to retrieve local information based on an identified geographic location, and local information for the travel destination is provided through the second application in response to a user interaction with the second application and based on a triggering threshold associated with the itinerary information.

Information describing changes to a collection of items maintained by a database may be stored in a log file. The information in the log file may be converted into a stream of records describing the changes. The records may be directed to a computing node selected for performing a trigger function in response to the change, based on applying a hash function to a portion of the record, identifying a hash space associated with a value output by the hash function, and mapping from the hash space to the selected computing node.

The disclosed computer-implemented method includes establishing a coalescing service configured to combine queries received at the coalescing service. The method further includes instantiating, within the coalescing service, multiple execution windows to which the received queries are to be assigned, where each execution window has an assigned deadline within which to execute. The method also includes analyzing a first query among the received queries to identify characteristics of the first query. The method then includes assigning the first query to a first execution window among the execution windows according to the identified characteristics. Then, upon detecting the occurrence of a specified trigger for at least one of the queries in the first execution window, the method includes executing those queries, including the first query, that are assigned to the first execution window. Various other methods, systems, and computer-readable media are also disclosed.

Systems, methods, and computer-readable media for triggering table entries characterizing workflow-related communications occurring between workflow participants are disclosed. The systems and methods may involve presenting a table via a display, the table containing rows and columns defining cells, the rows and cells being configured to manage respective roles of the workflow participants; presenting on the display at least one active link for enabling workflow participants to join in a video or an audio communication; logging in memory, characteristics of the communication including identities of the workflow participants who joined in the communication; and generating an object associated with the table, the object containing the characteristics of the communication logged in memory.

The described implementations relate to processing of electronic data. One implementation is manifest as a technique that can include obtaining a relational query that references one or more data items and associating progress intervals with the data items. The technique can also include converting the relational query into a corresponding streaming query, and providing the streaming query and the data items with the progress intervals to a stream engine that produces incremental results of the query. For example, the progress intervals can be based on row numbers of a relational database table. The progress intervals can be used to define event lifetimes of streaming events that are provided as inputs to the stream engine.

This document described digital decoupling architectures that enable existing computing systems to run in parallel with new computing technologies. In some aspects, a method includes receiving, by a digital decoupling system and from a source computing system, one or more updated data sets that each include data that has been updated at the source computing system. A source data entry of a source table of a database of the digital decoupling system is updated based on each updated data set. In response to detecting the change to the source table, a target data entry that includes data of the updated source data entry is added to a target table of the database. An adapter module obtains the data of the target data entry and generates an event that specifies the data of the target data entry. The event is sent to one or more destination computing elements.

A system synchronizes change-data in a multi-tenant system with one or more external service provider systems. The system comprises a system interface configured to receive transaction events; a write-optimized transactional database for recording the transaction events; a replicated read-optimized transactional database; a transaction log of change-data generated from the read-optimized transactional database; a first change-data processor configured to identify the change-data in the transaction log that is relevant to at least one external service provider system, and to generate an aggregate relevant change-data log; a second change-data processor configured to identify aggregate relevant change-data that is relevant to a particular external service provider system, and to generate a service provider relevant change-data log; a service provider connector configure to await a real-time trigger condition, and to, in response to the trigger condition, perform a synchronization session to synchronize the service provider relevant change-data with the particular external service provider system.