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Cloud Data Integration Specialist Informatica Cloud 101 (Qualifying and Transforming Source Data) Notas sobre Sem título, criado por Keisha Wynn em 20-04-2017.
Keisha Wynn
Notas por Keisha Wynn, atualizado more than 1 year ago
Keisha Wynn
Criado por Keisha Wynn mais de 8 anos atrás
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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.