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Projects
A project is a container for HCL Link artifacts.
Schemas
Use the schema designer to define, modify, and view schemas. A schema describes the syntax, structure, and semantics of your data.

Projects
A project is a container for HCL Link artifacts.
- Flows
  This documentation describes how Flows can be run from REST API, listeners, or they can be scheduled.
- Maps
  Maps define input and output specifications and mapping rules for data transformation.
- Schemas
  Use the schema designer to define, modify, and view schemas. A schema describes the syntax, structure, and semantics of your data.
  - About schemas
    A schema defines the contents of at least one input that you intend to map or one output you intend to map.
  - Subtypes
  - Schema hierarchy
  - Defining data
  - Objects, types, and classes
  - Testing part of a schema
    You can test a schema by generating test data for an item or a group. The schema designer creates source and compiled maps that generate and validate the test data. The test-data-generation map automatically runs and produces a text file with the sample data. After that, the test-data-validation map automatically runs on the sample data file.
  - Type properties
  - Item restrictions
  - Components
  - Partitioning
  - Type inheritance
  - Error detection
  - Error recovery
  - Schema analyzer
  - Distinguishable objects
  - Return codes and error messages
- Connections and Actions
  This documentation describes connections and actions.
- Files
  Files are used in various places within HCL Link. HCL Link allows files to be uploaded to the HCL Linkserver.

Schemas

Use the schema designer to define, modify, and view schemas. A schema describes the syntax, structure, and semantics of your data.

The syntax of data refers to its format including tags, delimiters, terminators, and other characters that separate or identify sections of data. The structure of data refers to its composition including repeating substructures and nested groupings. The semantics of data refer to the meaning of the data including rules for data values, relationships among parts of a large data object, and error detection and recovery.