Abstract: Methods, systems, and devices for analyzing communication messages (e.g., emails or activities) to determine relationship strength using a distributed graph are described. In some systems, a user may be associated with a specific tenant. A database server of the system may receive communication messages associated with the user and a target user. The server may perform a natural language processing (NLP) analysis on the communication messages to extract metadata, and may generate or update a distributed graph indicating connections between users based on the extracted metadata. Using the connections of the graph, the server may calculate a closeness score between the user and the target user. Additionally, the server may calculate closeness scores between the target and other users associated with the tenant, and may determine the users with the greatest closeness scores. The server may send a suggestion for the determined users to initiate communication with the target.

Abstract: A system may utilize a combination of real-time and polling connectors for data crawling. A real-time connector may use a collector to write data associated with a new event from a database to a channel and record external identifiers (IDs) associated the data. A polling connector may use a verifier to compare the recorded IDs with IDs associated with a batch of data, and may write any data of the batch of data to the channel that has not been written previously written by the collector. The system may include an onboarder for reading data previously stored in the database.

Abstract: Methods, systems, and devices for analyzing communication messages (e.g., emails or activities) to determine relationship strength using a distributed graph are described. In some systems, a user may be associated with a specific tenant. A database server of the system may receive communication messages associated with the user and a target user. The server may perform a natural language processing (NLP) analysis on the communication messages to extract metadata, and may generate or update a distributed graph indicating connections between users based on the extracted metadata. Using the connections of the graph, the server may calculate a closeness score between the user and the target user. Additionally, the server may calculate closeness scores between the target and other users associated with the tenant, and may determine the users with the greatest closeness scores. The server may send a suggestion for the determined users to initiate communication with the target.

Abstract: A system may utilize a combination of real-time and polling connectors for data crawling. A real-time connector may use a collector to write data associated with a new event from a database to a channel and record external identifiers (IDs) associated the data. A polling connector may use a verifier to compare the recorded IDs with IDs associated with a batch of data, and may write any data of the batch of data to the channel that has not been written previously written by the collector. The system may include an onboarder for reading data previously stored in the database.

Abstract: A workflow includes an activity that takes advantage of spreadsheet calculations. For a spreadsheet activity, calculation and extraction of values from a spreadsheet is performed. Thus, spreadsheet calculations are integrated into workflows without user intervention. After the workflow is complete, or after a spreadsheet activity is calculated, or upon a threshold or condition being met, a user or system may be notified (e.g., by email, instant message, etc.). Values from previous activities in the workflow may be obtained and provided to the spreadsheet (e.g., cell values are set, modified, or adjusted). The spreadsheet may then be recalculated using these obtained values. Moreover, values from the spreadsheet may be used in subsequent parts of the workflow. Also, any number of spreadsheet activities may be incorporated into a workflow, and one spreadsheet activity may provide values to a second spreadsheet activity in the workflow.

Abstract: A workflow includes an activity that takes advantage of spreadsheet calculations. For a spreadsheet activity, calculation and extraction of values from a spreadsheet is performed. Thus, spreadsheet calculations are integrated into workflows without user intervention. Values from previous activities in the workflow may be obtained and provided to the spreadsheet (e.g., cell values are set, modified, or adjusted). The spreadsheet may then be recalculated using these obtained values. Moreover, values from the spreadsheet may be used in subsequent parts of the workflow. Also, any number of spreadsheet activities may be incorporated into a workflow, and one spreadsheet activity may provide values to a second spreadsheet activity in the workflow.