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

User Guide

10.2.2
- 10.5.7
- 10.5.6
- 10.5.5
- 10.5.4
- 10.5.3
- 10.5.2
- 10.5.1
- 10.5
- 10.4.1
- 10.4.0
- 10.2.2 HotFix 1
- 10.2.2 Service Pack 1
- 10.2.1

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Step 4. Process the Data

Based on your business logic, you can determine the optimal run-time environment to process your data. If your data is less than 10 terabytes, consider processing your data in the native environment. If your data is greater than 10 terabytes, consider processing your data on a compute cluster.

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Table of Contents

User Guide

User Guide

Step 4. Process the Data

Step 4. Process the Data