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Data Mapper – Connecting to and Configuring a Database Data Source
This video tutorial demonstrates the process of connecting to and configuring database data sources with Liquid Data Mapper.
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Data Mapper – Using Joins with Multiple Data Sources
This video demonstrates how to use Liquid Data Mapper to join data from various sources.
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Data Mapper – Generate an Executable (.exe) File
This video tutorial demonstrates the process of creating an executable (.exe) file that performs a data transformation to convert a CSV file into an XML document using Liquid Data Mapper 2017.
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Data Mapper – Generate a C# Data Mapping Project
This video tutorial demonstrates generating a C# data transform in Visual Studio to convert a CSV file into an XML document using Liquid Data Mapper 2017.
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Data Mapper – Convert CSV to XML
This video tutorial demonstrates the process of creating a data transform to convert a CSV file into an XML document using Liquid Data Mapper 2017.
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Data Mapper – Copying Data Video
This video demonstrates how to use Liquid Data Mapper for basic data transfer between a source and target. It provides a straightforward tutorial on creating a simple transform.
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Data Mapper – First Transform Video
This video tutorial demonstrates creating a straightforward data transformation from constant values to an XML document using an XML Schema (XSD).
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Liquid Data Mapper – Contexts
The Liquid Data Mapper simplifies complex data transformations, focusing on the concept of contexts. By examining the transform in detail, users learn how it generates a CSV file with ‘Store’ and ‘Total Assets’ columns from XmlReader.Bookstore entries. The process involves various calculations like Sum and Multiply, with debugging tips provided.
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Liquid Data Mapper – Sub Functions
The Liquid Data Mapper simplifies complex data transformations, emphasizing the importance of Custom Sub Functions for maintainability and readability. An example illustrates transforming customer names by capitalizing the first letter. Sub Functions streamline the process, allowing reuse to enhance clarity.
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Liquid Data Mapper – Dynamic Data Sources
The Liquid Data Mapper simplifies complex data transformations, enabling runtime loading of data sources like XML, JSON, CSV, and EDI documents. Users can dynamically combine files, as shown with XML examples where contents are merged.
