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DataPipeline Foundations Examples

  1. Add a Decision Table to a Pipeline
  2. Add a Decision Tree to a Pipeline
  3. Add Calculated Fields to a Decision Table
  4. Add Calculated Fields to a Decision Tree
  5. Conditionally map Data from Source to Target
  6. Conditionally map DataField from Source to Target
  7. Create Custom Pipeline Action
  8. Create Custom Pipeline Input
  9. Create Custom Pipeline Output
  10. Evaluate a Decision Table
  11. Evaluate a Decision Table with Lookup
  12. Evaluate a Decision Tree
  13. Evaluate a Decision Tree with Lookup
  14. Execute an Action in a Decision Table
  15. Execute an Action in a Decision Tree
  16. Filter Columns with All Null Values
  17. Generate Java Beans from a Database
  18. Map Data with Rule Based Validation
  19. Map Data with Schema Based Validation
  20. Map Data from Source to Target
  21. Map Data from Source to Target in a Pipeline
  22. Map Data from Source to Target in a Pipeline with Validation
  23. Map Data from Source to Target with Lookup
  24. Read from CSV And Writer to Excel
  25. Save and Load DataMapping to XML
  26. Save and Load DecisionTable to XML
  27. Save and Load DecisionTree to XML
  28. Load Snapshot of Dataset
  29. Save and Restore Pipeline from JSON
  30. Show Column Statistics
  31. Show the Columns and Tables of a Schema
  32. Show Unique Values in Column
  33. Use an EventBus
  34. Use an EventBus in a Pipeline
  35. Use SchemaFilter to Validate Records in a Pipeline
  36. Validate a Field
  37. Validate a Value
  38. Validate Record Fields
  39. Validate Records using Fields and Rules
  40. Validate Records using Rules


Get DataPipeline 6.0.0
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