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CDAP Releases
Introduction to CDAP
User Guides
Data Pipeline User Guide
Metadata User Guide
Replication User Guide
Wrangler User Guide
Wrangler overview
Wrangler concepts
Wrangler UI components
Working with multiple datasets
Navigating between Wrangler and Pipeline Studio
Editing a recipe for a transformation created in the Wrangler
Wrangler data types
Working with connections in Wrangler
Parsing Files in Wrangler
Parsing a CSV file (6.6.0 and below)
Formatting strings
Sending records to error
Working with numbers in Wrangler
Working with Decimal types in Wrangler
Performing simple date transformations in Wrangler
Filtering records
Finding and replacing values
Filling null or empty cells
Copying, deleting, and keeping columns
Renaming a column
Joining two columns
Swapping two column names
Extracting fields
Exploding fields
Masking data
Encoding records
Decoding records
Applying a Hashing algorithm to a column
Upgrading the Wrangler transformation plugin version
Viewing and downloading a schema in Wrangler
Versioning recipes
Viewing Wrangler Service logs
Administrator Guide
Developer Guide
Operations and Monitoring Guide
Developing Plugins Guide
Third-Party Integration
Data Pipeline Performance Tuning Guide
Best Practices Guide
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Extracting fields
Extracting fields