Complex flat file stage datastage example programs

#COMPLEX FLAT FILE STAGE DATASTAGE EXAMPLE PROGRAMS FULL#
#COMPLEX FLAT FILE STAGE DATASTAGE EXAMPLE PROGRAMS CODE#

The Description Annotation stage contains both the short and full descriptions for the job. The short job description can be identified within the Description Annotation stage. Which statement is true about annotations? A. You are asked by management to document all jobs written to make future maintenance easier. Name all stage and links with column names and ideas. Indicate all stage names within the job annotation. Name all stages and links based on what they do. What could the original developer have done to make this task easier for maintenance purposes?ДЄ. One of the output columns has an incorrect value which should have been obtained using a lookup. All link and stage names use the default names. The annotation in the job indicates who wrote the job and when, not the objective of the job. The job contains 20 stages sourcing data from two Data Sets and many sequential files. You are assigned to correct a job from another developer. Job that is designed to be used as a service? (Choose two.) A. Question No : 5 - (Topic 1) What two binding types are supported by Information Services Director (ISD) for a parallel They persist parallelism into a temporary repository table. They use the same data types as the parallel framework. They persist the parallelism of the job creating them. What two characteristics of Data Sets make them a good design consideration in your jobs design change? (Choose two.)ДЄ.

You have decided to use the Data Set stage to support this job design change. You have a parallel job that based on operational recoverability requirements needs to be broken up into two separate parallel jobs.

#COMPLEX FLAT FILE STAGE DATASTAGE EXAMPLE PROGRAMS CODE#

Hash partition and sort on ZIP code column prior to the Copy stage, and use same partitioning on the Aggregator and Join stages. Hash partition and sort on ZIP code column prior to the Copy stage and use entire partitioning on the Aggregator and Join stages. Hash partition and sort on ZIP code column on the input links to the Aggregator and Join stages. Use Entire partitioning on the input links to the Aggregator and Join stages. Which change will reduce the cost of partitioning that occurs in this job?ДЄ. Currently all partitioning is set to 'Auto' and automatic sort insertion is allowed. This job uses the sort aggregator and a left outer join on the ZIP code column. Question No : 3 - (Topic 1) You are asked to optimize the fork join job design in the exhibit. When optimizing a job, Balanced Optimization will NOT search the job for what pattern?ДЄ. Create parallel shared containers with Runtime Column Propagation (RCP) ON and define only necessary common columns needed for the logic. Create parallel shared containers and define columns combining all data formats. Create separate jobs for each layout and choose the appropriate job to run within a job sequencer. Create parallel routines for each of the common logic areas and for each of the unique column metadata formats. Choose the action that gives you the best reusability design to effectively implement these common logic areas in your ETL application?ДЄ. The common logic areas have the same logic, but the jobs using them would have different column metadata. These common logic areas found include: code validation lookups and name formatting.

In your ETL application design you have found several areas of common processing requirements in the mapping specifications. You can reach us at any of the email addresses listed below. Especially Adobe, Apple, Citrix, Comptia, EMC, HP,IBM, Cognos, Microsoft, Business Objects, Symantec, Juniper, LPI, Nortel, Oracle, SUN, VMware and Many more and help you pass any IT Certification exams at the first try. We provide high quality IT Certification exams practice questions and answers (Q&A). The safer, easier way to help you pass any IT Certification exams. Chanakya вЂњThe King of IT CertificationsвЂќ C2090вЂђ303 IBMВ InfoSphereВ DataStageВ v9.1Д¬hanakya was founded in 2008.

Complex flat file stage datastage example programs