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Easily define templates and data extraction rules for PDF documents for use in MapForce.
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Learn how to convert and transform between data formats using the easy, drag-and-drop data mapping tools in MapForce.
Convert and transform data using easy, drag-and-drop tools.
Source XML is transformed using data processing functions before being written to the XML target.
Learn how to connect to a database, filter data, and transform it to XML.
Learn to map XML to a SQL database as well as configure database table actions, filters, and more to control how the data is written to the database.
This demo shows how to transform Excel data and write it to JSON and XML targets.
Create a multi-step mapping with multiple targets and data processing functions.
Create a data mapping that converts a batch of JSON files to a batch of XML files using wildcards and dynamic file names.
Learn how to merge a batch of multiple files into a single target file and sort the results.
Use node functions and defaults to apply the same processing logic to multiple nodes at once.
Learn about the challenges associated with ETL and how MapForce can help.
Learn the basics of ETL in MapForce by extracting CSV data, transforming it using functions, and loading it to a target database.
Explore a complex ETL project involving extracting CSV data, transforming it to suit the target data structure, and loading it to a SQL database.
Easily define templates and data extraction rules for PDF documents for use in MapForce.
Learn to define precise data extraction rules for PDF documents using text search functionality in the MapForce PDF Extractor.
Visually define templates for parsing legacy text files for use with MapForce.
