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The most important advantages & applications of the data transformation plugin at a glance
Discover the advantages of our data transformation plugin:
Data processing in the “pipeline” principle
Data manipulation and further processing
Processing cross-source data
Indexing in real time or at specific times
Highly scalable for large data volumes
Further processing by third-party systems
Application examples
E-mail classification
Process automation
Building structures
Clean-up processes
Data Transformation Made Easy
The most important applications & best functions.
Data processing in the "pipeline" principle
By implementing a “pipeline” principle, searchit processes data in the order in which it is indexed. For example, incoming data can be marked with a consecutive number without changing the order.
Data manipulation and further processing
Data can be processed automatically with the data transformation plugin. Regardless of whether certain data is to be manipulated (copied, moved, deleted) or whether tags are to be assigned automatically via the classification plug-in, for example. As a further application, incoming documents could be automatically forwarded to specific email addresses.
Processing cross-source data
searchit makes it possible to search several sources simultaneously. By indexing data from multiple sources, the data transformation plugin can also be used to process data from multiple sources.
Indexing in real time or at specific times
searchit indexes data across sources at user-defined intervals. This means that data can be indexed in real time or at set times.
Highly scalable for large data volumes
Thanks to the high scalability of searchit, automated data transformations can be carried out even with increasing data volumes.
Further processing by third-party systems
searchit enables the connection of third-party systems. For example, tickets can be created automatically in the Jira ticketing system.
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