![]() Related Questions Orchestrate itself is an ETL tool with extensive parallel processing capabilities and running on UNIX platform. Datastage used Orchestrate with Datastage XE (Beta version of 6.0) to incorporate the parallel Stage Variable - An intermediate processing variable that retains value during read and doesnt pass the value into target column. Derivation - Expression that specifies value to be passed on to the target Latest Answer : all r correct one only ... Latest Answer : 1. Define the job parameter at the job level or Project level.2. Use the file name in the stage(source or target or lookup)3. supply the file name at the run time.Hanu. ... Latest Answer : You can insert the parameter values in a table and read them when the package runs using ODBC Stage or Plug-In stage and use DS variables to assign them in the data pipeline, or pass the parameters using DSSetParam from the controling job (batch ... Latest Answer : U can define a job sequence to send an email using SMTP activity if the job fails. Or log the failure to a log file using DSlogfatal/DSLogEvent from controlling job or using a After Job Routine. orUse dsJob -log from CLI. ... Always parameterized the job. Either the values are coming from Job Properties or from a ‘Parameter Manager’ – a third part tool. There is no way you will hard–code some parameters Latest Answer : hi please send me some real time questions in datastage for interview.i have interview on sunday for accenturehow do u implement rank in datastage os: windows ... What are other Performance tunings you have done in your last project to increase the performance of What are other Performance tunings you have done in your last project to increase the performance of slowly running jobs? Staged the data coming from ODBC/OCI/DB2UDB stages or any database on the server using Hash/Sequential files for optimum performance also for data recovery in case job aborts.Tuned the OCI stage for 'Array First we execute the jobs that load the data into Dimension tables, then Fact tables, then load the Aggregator tables (if any). Latest Answer : Simply by using "usage variyable" stage in job sequencers. ... A. The jobs in which data is read directly from OCI stages are running extremely slow. I had to stage the data before sending to the transformer to make the jobs run faster.B. The job aborts Latest Answer : u can create a UNIX shell script which will pass the parameters to the job and u also can create logs for the whole run process of the job. ...
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