 Related Questions The data movement mode depends on whether Informatica Server should process single byte or multi-byte character data. This mode selection can affect the enforcement of code page relationships and code Latest Answer : the 2 modas areUnicode modeAscii mode ... Comment posted by: Deb on 2005-06-08 00:56:53Ans: While running a Workflow,the PowerCenter Server uses the Load Manager process and the Data Transformation Manager Process (DTM) to run the workflow and Latest Answer : I am providing the answer which I have taken it from Informatica 7.1.1 manual, Ans: While running a Workflow,the PowerCenter Server uses the Load Manager process and the Data Transformation Manager Process (DTM) to run the workflow and carry ... After the load manager performs validations for the session, it creates the DTM process. The DTM process is the second process associated with the session run. The primary purpose of the DTM process is Latest Answer : Load manager and DTM are the components of Informatica server. Load manager manages the load on the server by maintaining a queue of sessions and release the session based on first come and first serve. When the session is released from the load ... Session - A Session Is A set of instructions that tells the Informatica Server How And When To Move Data From Sources To Targets. After creating the session, we can use either the server manager or the Latest Answer : Session is a set of instructions that relates to extraction, transformation and loading. Session is a task that relates to data acquisition.
There are two types of taskReusable taskNon reusable taskBatch :Batch is a group of sessions, There are three ... U can not create or import flat file defintion in to warehouse designer directly.Instead U must analyze the file in source analyzer,then drag it into the warehouse designer.When U drag the flat file source Latest Answer : 1] Add the metadata of source file into Informatica designer using source
analyzer and save source file definition in the repository.2] When we drag
the source file definition into warehouse designer work space, the warehouse
designer creates a ... COBOL source definition Joiner transformations Normalizer transformations Non reusable sequence generator transformations. Pre or post session stored procedures Target defintions Power mart 3.5 style Look Latest Answer : −Normalizer transformations−Cobol sources−XML Source Qualifier transformations−XML sources−Target definitions−Pre- and post- session stored procedures−Other mapplets-PowerMart 3.5-style LOOKUP functions-non reusable ... Maping parameter represents a constant value that U can define before running a session.A mapping parameter retains the same value throughout the entire session. When u use the maping parameter ,U declare Latest Answer : Mapping parameter represents a constant value defined before mapping run.
Mapping reusability can be achieved by using mapping parameters.
Mapping variable represents a value that can be changed during the mapping run.
Mapping variable can be used ... Use sorted input. Latest Answer : -Use sorted input to decrease the use of aggregate caches.-Limit connected input/output or output ports.Limit the number of connected input/output or output ports to reduce the amount of data the Aggregator transformation stores in the data cache.-Filter ... The aggregator stores data in the aggregate cache until it completes aggregate calculations.When u run a session that uses an aggregator transformation,the informatica server creates index and data caches Latest Answer : when server runs the session with aggregate transformation ,it stores data in memory until it completes the aggregation when u partition a source ,the server creates one memory cache and one disk cache for each partition .it routes the data from one ... When a Joiner transformation occurs in a session, the Informatica Server reads all the records from the master source and builds index and data caches based on the master rows. After building the caches, Latest Answer : For version 7.x and above :When the PowerCenter Server processes a Joiner transformation, it reads rows from both sources concurrently and builds the index and data cache based on the master rows. The PowerCenter Server then performs the join based on ...
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