Table of Contents
- Title and Copyright Information
 - Preface
 - 1 Getting Started with Oracle Big Data Preparation Cloud Service
- About Oracle Big Data Preparation Cloud Service
 - About Oracle Big Data Preparation Cloud Service Features
 - About the Components of Oracle Big Data Preparation Cloud Service
 - How to Begin with Oracle Big Data Preparation Cloud Service Subscriptions
 - Accessing Oracle Big Data Preparation Cloud Service
 - About Oracle Big Data Preparation Cloud Service Roles and User Accounts
 - Understanding Information on the Home Page
 
 - 2 Defining and Using Data Sources and Targets
- Task Overview for Defining and Using Data Sources and Targets
 - Creating Data Sources and Targets
- Adding an Existing Oracle Storage Cloud Service Instance as a Source or Target
 - Adding an Existing Oracle Business Intelligence Cloud Service Instance as a Target
 - Adding an Existing Oracle Data Visualization Cloud Service Instance as a Target
 - Adding an Existing Oracle Database Cloud Service Instance as a Target
 - Adding a Local Hadoop Distributed File System as a Source or Target
 
 - Editing Data Sources and Targets
- Editing Source or Target Settings for Oracle Storage Cloud Service
 - Editing Target Settings for Oracle Business Intelligence Cloud Service
 - Editing Target Settings for Oracle Data Visualization Cloud Service
 - Editing Target Settings for Oracle Database Cloud Service
 - Editing Source or Target Settings for a Local Hadoop Distributed File System
 
 - Uploading Your Data
 - Downloading Results from Your Oracle Storage Cloud Service Directories
 - Understanding the Supported File Types
 
 - 3 Working with the Catalog
 - 4 Creating a Transform Script
 - 5 Authoring the Transform Script
- Task Overview for Authoring the Transform Script
 - Changing the Column Order
 - Changing the Column Name
 - Merging Columns
 - Filtering Transform Script Actions
 - Viewing and Applying Recommendations
 - Viewing and Fixing Alerts
 - Handling Sensitive Information
 - Unifying Classified Data Values
 - Using Regular Expressions
 - Finding Duplicates in Your Data
 - Checking for Null Data
 - Enriching Data Sets
 - Understanding Recognized Patterns and Data Enrichments
 
 - 6 Adding Custom Reference Knowledge
 - 7 Blending Data
 - 8 Publishing Data Results and Scheduling Policies
 - 9 Monitoring Jobs
 - A Using Similarity Discovery