Glossary of terms > F
  

F

fault handling
The configuration of a process to account for an exception or an unanticipated condition that occurs during a process flow. With fault handling, a predictable result always occurs.
Used by Application Integration.
file ingestion and replication task
A Data Ingestion and Replication task that transfers a large number of files of different types between on-premises and cloud repositories.
Used by Data Ingestion and Replication.
file transfer task
Performs actions on inbound files that a service receives from file servers or on outbound files that a service sends to file servers. For example, you can decompress and decrypt inbound files or encrypt and compress outbound files. You can use REST APIs to run file transfer tasks, or you can trigger them from B2B Gateway.
Used by Administrator, B2B Gateway.
file listener
A mechanism that monitors files in a defined location and notifies an asset when a file event occurs, such as when a new file arrives in the monitored folder or the files in the monitored folder are updated or deleted. Use a file listener as a scheduling option in taskflows, file ingestion and replication tasks, and B2B Gateway partner flows.
Used by Data Ingestion and Replication, Data Integration.
flatten
The process of creating a row for each hierarchical data element in an array or struct.
Used by Data Integration.
fulfillment
The process of providing access to data that a data consumer has requested.
Used by Data Marketplace.
full load
A type of load where an entity or task processes data for all rows of the source objects.
In Data Integration, a replication task that runs in full load mode truncates the target database tables and performs a full data refresh from the source.
In Cloud Integration Hub, a publication that runs in full load mode writes a full snapshot of the data to the topic.
Used by Data Integration, Integration Hub.
fuzzy match
A way to determine if two different strings are similar enough to match. Fuzzy match can match strings that differ due to the presence of spelling variations, spelling or typing errors, common abbreviations, and acronyms.
A fuzzy match algorithm calculates a value that represents the similarity between the two strings. The value is called the match score or alternatively, in Master Data Management, the edit distance. Values match when the match score meets or exceeds a match threshold.
See also exact match.
Used by Data Integration, Master Data Management, Data Quality.