Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes receiving a match query from a customer relationship management system that transmitted the match query responsive to a user using an interface to trigger an update of records in the customer relationship management system that were previously imported from the DAAS system, querying for records in the dataset that match records in the customer relationship management system previously imported from the DAAS system, the querying configured at run time according to metadata that identifies, for records in the dataset, a field to match on and a match threshold, and producing a match query result that includes records in the dataset to be imported to update records that were previously imported from the DAAS system.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes receiving a match query from a customer relationship management system that transmitted the match query responsive to a user using an interface to trigger an update of records in the customer relationship management system that were previously imported from the DAAS system, querying for records in the dataset that match records in the customer relationship management system previously imported from the DAAS system, the querying configured at run time according to metadata that identifies, for records in the dataset, a field to match on and a match threshold, and producing a match query result that includes records in the dataset to be imported to update records that were previously imported from the DAAS system.

Abstract: Examples include maintaining a virtual pool of containers; receiving a request from a client for one of a plurality of services to performed; when the request includes client code, determining whether the request belongs to regular or priority queue based on two models; adding the request to an appropriate shard in the queue; getting the request from the selected one of the plurality of queues and assigning a container for the request from the virtual pool of containers, the client code to be executed in the container; and after the client code is executed in the container, deleting the container from the virtual pool.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes receiving a match query from a customer relationship management system that transmitted the match query responsive to a user using an interface to trigger an update of records in the customer relationship management system that were previously imported from the DAAS system, querying for records in the dataset that match records in the customer relationship management system previously imported from the DAAS system, the querying configured at run time according to metadata that identifies, for records in the dataset, a field to match on and a match threshold, and producing a match query result that includes records in the dataset to be imported to update records that were previously imported from the DAAS system.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: Examples include maintaining a virtual pool of containers; receiving a request from a client for one of a plurality of services to performed; when the request includes client code, determining whether the request belongs to regular or priority queue based on two models; adding the request to an appropriate shard in the queue; getting the request from the selected one of the plurality of queues and assigning a container for the request from the virtual pool of containers, the client code to be executed in the container; and after the client code is executed in the container, deleting the container from the virtual pool.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: A method for linking records from different datasets based on record similarities is described. The method includes ingesting a first dataset, including a first set of records with a first set of fields, wherein the first dataset is associated with a first vendor and a first type of data, and a second dataset, including a second set of records with a second set of fields, wherein the second dataset is associated with a second vendor and a second type of data; determining that a first record from the first set of records is similar to a second record from the second set of records based on similarities between fields in the first and second set of fields; and linking the first and second records in response to determining that the similarity, wherein the first and second vendors are different and/or the first and second types of data are different.

Abstract: A method for linking records from different datasets based on record similarities is described. The method includes ingesting a first dataset, including a first set of records with a first set of fields, wherein the first dataset is associated with a first vendor and a first type of data, and a second dataset, including a second set of records with a second set of fields, wherein the second dataset is associated with a second vendor and a second type of data; determining that a first record from the first set of records is similar to a second record from the second set of records based on similarities between fields in the first and second set of fields; and linking the first and second records in response to determining that the similarity, wherein the first and second vendors are different and/or the first and second types of data are different.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: In various embodiments, a system of synchronizing data is described. The system may store data associated with a plurality of data vendors. The system may synchronize the stored data with data from a first data vendor. The received data may be parsed by identifying data values indicated by associated metadata, and modifying the data values based on a universal data format. The system may also receive synchronization requests from a user of the service. The synchronization requests may indicate requested data and a list of processing operations. The requested data may correspond to data received from multiple data vendors. The system may perform the list of processing operations and return the data. Accordingly, the system may manage data received from multiple data vendors even if the data vendors have different synchronization conditions and provide the data in different formats. The data may be analyzed and output together to a user.

Abstract: Some embodiments of the present invention include a method for providing social information of members of one or more social networks includes receiving a request for a social handle of a person via a social handle application programming interface (API), the request including contact information about the person, performing a search for the social handle of the person using the contact information, normalizing the social handle if it is not already normalized to generate a normalized social handle, storing the normalized social handle as being associated with the contact information, and providing the normalized social handle in a response to the request.

Abstract: Methods and systems are provided for regulating access to a database by a server. One exemplary method involves the server receiving one or more requests for an activity with respect to the database and determining an attempted usage for the activity over a monitoring period by a source of the requests. When the attempted usage exceeds an allowed usage of the activity for the monitoring period, the server creates an entry in a cache that includes an identifier associated with the source of the one or more requests. Thereafter, the requested activity with respect to the database on behalf of the source may be prevented based on the entry in the cache.

Abstract: Systems and methods are provided for semi-synchronously exporting data. A web server creates an export record in response to receiving a data request from a client computer. The web server sends a token to the client computer, wherein receipt of the token enables the client computer to be used for other purposes while waiting for receipt of requested data. At least one of multiple batch processing servers processes the data request in response to accessing the export record. At least one of the multiple batch processing servers updates the export record to reflect the processing of the data request. The web server exports the processed data request to the client computer in response to identifying an update of the export record.

Abstract: Methods and systems are provided for regulating access to a database by a server. One exemplary method involves the server receiving one or more requests for an activity with respect to the database and determining an attempted usage for the activity over a monitoring period by a source of the requests. When the attempted usage exceeds an allowed usage of the activity for the monitoring period, the server creates an entry in a cache that includes an identifier associated with the source of the one or more requests. Thereafter, the requested activity with respect to the database on behalf of the source may be prevented based on the entry in the cache.

Abstract: Methods and systems are provided for regulating access to a database by a server. One exemplary method involves the server receiving one or more requests for an activity with respect to the database and determining an attempted usage for the activity over a monitoring period by a source of the requests. When the attempted usage exceeds an allowed usage of the activity for the monitoring period, the server provides a human verification test to the source and thereafter initiates the activity with respect to the database in response to receiving a satisfactory human verification response to the human verification test from the source.

Abstract: Some embodiments of the present invention include a method for providing social information of members of one or more social networks includes receiving a request for a social handle of a person via a social handle application programming interface (API), the request including contact information about the person, performing a search for the social handle of the person using the contact information, normalizing the social handle if it is not already normalized to generate a normalized social handle, storing the normalized social handle as being associated with the contact information, and providing the normalized social handle in a response to the request.