Abstract: A data dictionary generation system utilizes a background service that is programmed to automatically populate and update a data dictionary for listings offering shared data. A data dictionary includes metadata describing the shared data overall as well as the individual objects included in the listing, such as the individual tables, schemas, views, and functions. To generate the data dictionary, the data dictionary generation system analyzes the shared data to identify objects, identifies a set of data fields associated with each identified object and populates the set of data fields associated with each identified object based on the shared data offered by the listing. To ensure that a data dictionary for each listing remains up to date, the data dictionary generation system periodically scans the listings to identify any changes to share access granted to the listings.

Abstract: A data dictionary generation system automatically populates and updates a data dictionary for listings offering shared data. A data dictionary includes metadata describing the shared data, including the individual objects, such as the individual tables, schemas, views, and functions. The shared data and each individual data object may be described in the data dictionary by a set of data fields that corresponds to the shared dataset or the object type of the individual object. The data dictionary can be presented to data consumers along with the description of the listing to provide data consumers with a comprehensive description of the shared data provided by a listing, including a high-level summary of the shared data and description of each individual object included in the shared data. The data dictionary allows data consumers to understand the contents of the shared data and how to use the shared data.

Abstract: A data dictionary generation system automatically populates and updates a data dictionary for listings offering shared data. The data listing distribution component distributes the data dictionaries to various remote deployments in a data exchange by using a global messaging framework and replication method. For example, the data listing distribution component replicates a data dictionary generated for the listing and its shared data from a source deployment to one or more destination deployments associated with various geographic regions. The data listing distribution component distributes the listing to the various remote deployments to allow for the listing, including its shared data and data dictionary, to be accessed by users within the geographic region associated with the remote deployment.

Abstract: A process of fulfilling a database deployment request for a data platform. A compute service manager of the data platform scans one or more accounts of a consumer region of the data platform for a pending listing fulfillment request, where the pending listing request includes a request for deployment of a consumer database and an associated share of grant metadata of the consumer database within the consumer region. When the compute service manager determines that an account of the one or more accounts has a pending listing fulfillment request, the compute service manager determines a listing for the pending listing fulfillment request based on listing data of the account. The compute service manager determines that no other fulfillment task is scheduled for the pending listing fulfillment request and schedules a background fulfillment task to perform the fulfillment process for the pending listing fulfillment request.

Abstract: A passive alert system is provided for vehicles traveling along a predetermined travel route. The vehicles are equipped with vehicle processing systems which are in communication with a remote server. The remote server acquires information pertaining to conditions along the travel route, such as weather and traffic conditions, and determines if these conditions are of a nature which warrants reporting them to the vehicle processing systems.

Abstract: A system for tracking a fleet of vehicles, such as trucks or aircraft, includes a set of vehicle processing systems associated with each vehicle. Each vehicle processing system receives a travel route matrix from a remote server, and generates periodic vehicle position information which is compared with a propagating wave associated with different segments, or corridors, of the matrix. When the vehicle position is determined to lie outside the propagating wave and a geo-corridor at a particular point in time, alerts are sent to the server notifying the server of same. Corrective action can then be taken, such as remotely disabling the vehicle, or alerting a fleet manager.

Abstract: A system for tracking a fleet of vehicles, such as trucks or aircraft, includes a set of vehicle processing systems associated with each vehicle. Each vehicle processing system receives a travel route matrix from a remote server, and generates periodic vehicle position information which is compared with a propagating wave associated with different segments, or corridors, of the matrix. When the vehicle position is determined to lie outside the propagating wave and a geo-corridor at a particular point in time, alerts are sent to the server notifying the server of same. Corrective action can then be taken, such as remotely disabling the vehicle, or alerting a fleet manager.

Abstract: A passive alert system is provided for vehicles traveling along a predetermined travel route. The vehicles are equipped with vehicle processing systems which are in communication with a remote server. The remote server acquires information pertaining to conditions along the travel route, such as weather and traffic conditions, and determines if these conditions are of a nature which warrants reporting them to the vehicle processing systems.