Preface
Introduction to Informatica Big Data Management
Mappings
Sources
Targets
Transformations
Cluster Workflows
Profiles
Monitoring
Hierarchical Data Processing
Hierarchical Data Processing Configuration
Hierarchical Data Processing with Schema Changes
Intelligent Structure Models
Stateful Computing
Connections
Data Type Reference
Function Reference
- Function Support in a Non-native Environment
- Function and Data Type Processing
  - Rules and Guidelines for Spark Engine Processing

User Guide

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Mappings in the Native Environment

You can run a mapping in the native environment. In the native environment, the Data Integration Service runs the mapping from the Developer tool. You can run standalone mappings or mappings that are a part of a workflow.

In the native environment, you can read and process data from large unstructured and semi-structured files, Hive, or social media web sites. You can include the following objects in the mappings:

Hive sources

Flat file sources or targets in the local system or in HDFS

Complex file sources in the local system or in HDFS

Data Processor transformations to process unstructured and semi-structured file formats

Social media sources

Mappings

Data Processor Mappings

HDFS Mappings

Hive Mappings

Social Media Mappings

Native Environment Optimization

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