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Cloud DataPrep (Cleanse (Apply Conditional Transformations, Change Column…
Cloud DataPrep
Cleanse
Apply Conditional Transformations
Change Column Data Type
Compare Values
Replace Cell Values
Copy and Paste Columns
Deduplicate Data
Extract Values
Format Dates
Manage String Lengths
Modify String Values
Normalize Numeric Values
Prepare Data for Machine Processing
Remove Data
Rename Columns
Replace Groups of Values
Standardize Using Patterns
Discovery
Add or Edit Recipe Steps
Analyze across Multiple Columns
Calculate Metrics across Columns
Compare Strings
Compute Counts
Explore Suggestions
Filter Data
Locate Outliers
Missing data
Bad data
Poorly formatted data
Mismeasured data
Data that skews statistics
Parse Fixed-Width File and Infer Columns
Import
Change File Encoding
Connect to Data
Create Dataset with Parameters
Disable Type Inference
Import Excel Data
Import a File
Import a Table
Import from Another Flow
Remove Initial Structure
Enrichment
Add Lookup Data
Add Two Columns
Append Datasets
Generate Primary Keys
Insert Metadata
Join Datasets
Structring
Create Aggregations
Initial Parsing Steps
Pivot Data
Reshaping Steps
Split Column
Working With JSON
Validation
Locate mismatched values
Find Missing Data
Profile Your Source Data
Manage Null Values
Validate Your Data
Publishing
Publish Results on Demand
Reuse Recipe
Project Management