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  1. Installation Getting Started
  2. Before You Install the Services
  3. Run the Big Data Suite Installer
  4. After You Install the Services
  5. Install the Developer Tool
  6. Uninstallation
  7. Starting and Stopping Informatica Services
  8. Connecting to Databases
  9. Updating the DynamicSections Parameter of a DB2 Database
  10. Silent Input Properties File

Installation and Configuration Guide

Installation and Configuration Guide

Data Preparation Service

Data Preparation Service

The Data Preparation Service manages data preparation within Enterprise Data Lake. When an analyst prepares data in a project, the Data Preparation Service stores worksheet metadata in the Data Preparation repository. When you create the service, you can associate other application services with it.
The following table summarizes the dependencies for products, services, and databases that are associated with the Data Preparation Service:
Dependency
Summary
Products
The following products use the Data Preparation Service:
  • Enterprise Data Lake
Services
If you plan to use rules during data preparation, you can provide a direct association with the following services:
  • Model Repository Service
  • Data Integration Service
Databases
The Data Preparation Service uses the following database:
  • Data Preparation repository. Stores worksheet metadata created when users prepare data assets for publication.
Installer
You can create the Data Preparation Service when you run the installer.

Rules and Guidelines

Consider the following rules and guidelines for Data Preparation Service creation:
  • If you use the installer to create the Enterprise Data Lake and Data Preparation Service, you must create both of the application services on the same node.
  • If you plan to use rules, you must associate a Data Integration Service and a Model Repository Service with the Data Preparation Service.
  • If you want to create and enable the Data Preparation Service when you run the installer, the domain must contain connections associated with the Hadoop environment. For more information, see Prepare to Create the Enterprise Data Lake Services.