what are the reusable transformations in informatica?
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Answer: Any Informatica Transformation created in the in the Transformation Developer or a non-reusable promoted to reusable transformation from the mapping designer which can be used in multiple mappings is known as Reusable Transformation.
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['Enter a SOQL query or SOSL search in the Query Editor panel.', 'If you want to query tooling entities instead of data entities, select Use Tooling API.', 'Click Execute.']
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['Arena PLM & QMS.', 'Siemens Teamcenter.', 'Propel.', 'Oracle Agile.', 'Upchain.', 'OpenBOM.', 'SAP PLM.', 'PTC Windchill.']
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Mapplet consists of set of transformations that is reusable. A reusable transformation is a single transformation that can be reusable. Mapplets are re-usable components and is a set of transformation / Business logic which can be reused across various mappings.
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In the first step extraction, data is extracted from the source system into the staging area. In the transformation step, the data extracted from source is cleansed and transformed . Loading data into the target datawarehouse is the last step of the ETL process.
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Connected lookup receives input values directly from mapping pipeline, whereas UnConnected lookup receives values from the lookup expression from another transformation. A mapping in Informatica may contain Source, Transformations and Targets connected together are considered as a pipeline.
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You can use cqlsh COPY command : An alternative to using COPY command (see other answers for examples) or Spark to migrate data is to create a materialized view to do the denormalization for you. Cassandra will fill the table for you then so you wont have to migrate yourself.
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['Step one: Data interpretation. The first step in data transformation is interpreting your data to determine which type of data you currently have, and what you need to transform it into. ... ', 'Step two: Pre-translation data quality check. ... ', 'Step three: Data translation. ... ', 'Step four: Post-translation data quality check. ... ', 'Conclusion.']
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Two Variants of IDQ Informatica analyst is a web based tool that can be used by business analysts & developers to analyse, profile, cleanse, standardize & scorecard data in an enterprise.
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['DDL(Data Definition Language).', 'DML(Data Manipulation Language).', 'DQL(Data Query Language).', 'DCL(Data Control Language).', 'TCL(Transaction Control Language).']
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Using an ORM alleviates the redundancy of writing boilerplate code related to opening a database connection, pooling connections, preparing a statement, executing the statement, mapping the results of executing the statement to something more meaningful, and lastly closing the connection.
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Difference between Lookup and joiner transformation in Informatica. ... Matching condition can be specified in the lookup transformation. The result returned can be multiple columns or single column. b) Lookup transformation can be unconnected or connected transformation.
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['ER/Studio. ER/Studio is an intuitive data modelling tool that supports single and multi-platform environments, with native integration for big data platforms such as – MongoDB and Hadoop Hive. ... ', 'Sparx Enterprise Architect. ... ', 'Oracle SQL Developer Data Modeler. ... ', 'CA ERwin. ... ', 'IBM - InfoSphere Data Architect. ... ', 'About us.']
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['Run SELECT query on custom object.', 'export the data to csv file.', 'Automate / schedule step-1 and step-2 .']
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['A. System - test data.', 'Decision table.', 'Data Flow Diagram.', 'Flowcharts.']
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['Storage.', 'General Purpose Execution Engines.', 'Database Management Tools.', 'Data Abstraction Engines.', 'Real-Time Data Streaming.', 'Graph-Processing Engines.', 'Machine Learning.', 'Cluster Management.']
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['Extracting into Flat Files Using SQL*Plus.', 'Extracting into Flat Files Using OCI or Pro*C Programs.', 'Exporting into Export Files Using the Export Utility.', 'Extracting into Export Files Using External Tables.']