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