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Keisha Wynn Informatica Cloud 101 Cloud Data Integration Specialist Englisch 1 Seite

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Facts:

Data filter: limit or qualify data pulled from the source (part of WHERE clause), Two Types: Simple and Advanced. Simple - when all criteria can be joined with AND (meets all criteria) and is NOT a flat file. ADVANCED: Nesting conditions or using OR or using a Flat File

Task Wizards > Data Synchronizatoin

Incremental Process: you run a task once/hour and want to create new records, and update existing records, use LastModifiedDate >= $LastRunTIme

Field Expressions: transform source data before loaded into target. For example, mapping multiple source fields to single target field. Convert data values or performing data clean-up (trimming trailing blank spaces, etc).

Language - based on standard SQL but has some differences. Can write simple or complex expressions. Includes fields, literals, functions, operators, constants

Best Practice: Use field-level expression to convert the data

Create a field expression: Open existing task > Field Mapping Step on target step, Actions icon. Be sure to validate expression.

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Beschreibung
Cloud Data Integration Specialist Informatica Cloud 101 (Qualifying and Transforming Source Data) Notiz am Ohne Titel, erstellt von Keisha Wynn am 20/04/2017.
Erstellt von
Keisha Wynn · Apr 2017
Aktualisiert
20 Apr 2017
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3
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