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  1. Etlworks Support
  2. Working with Nested and Hierarchical Data

Working with Nested and Hierarchical Data

Best practices for working with structured formats including flattening, normalization, and transformation techniques.

Nested data basics

  • Working with Nested Documents and Formats in Etlworks
  • Nested mapping

Flatten and Normalize Nested Documents

  • Mapping when the source is nested and destination is flat
  • Use SQL to extract data from non-relational sources
  • Normalize nested dataset as flat tables or files
  • Another Way to Work with Nested API Responses: Output and Formatting Options in HTTP Connector
  • Flatten nested dataset using Extract Dimensions transformation
  • Flatten source XML with repeating segments

Create and Transform Nested Documents

  • Transforming Documents Using Source Queries and Format-Level Configuration
  • Generate Nested JSON Using SQL and CLOB Format
  • Create XML and JSON documents using JavaScript
  • Transform nested XML using XSLT
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