How did you handle reject data?
Ans: Typically a Reject-link is defined and the rejected data is loaded back into data warehouse. So Reject link has to be defined every Output link you wish to collect rejected data. Rejected data is typically bad data like duplicates of Primary keys or null-rows where data is expected.
Ans: Typically a Reject-link is defined and the rejected data is loaded back into data warehouse. So Reject link has to be defined every Output link you wish to collect rejected data. Rejected data is typically bad data like duplicates of Primary keys or null-rows where data is expected.
If worked with DS6.0 and latest
versions what are Link-Partitioner and Link-Collector used for?
Ans: Link Partitioner - Used for partitioning the data.
Link Collector - Used for collecting the partitioned data.
Ans: Link Partitioner - Used for partitioning the data.
Link Collector - Used for collecting the partitioned data.
What are Routines and where/how are
they written and have you written any routines before?
Ans: Routines are stored in the Routines branch of the DataStage Repository, where you can create, view or edit. The following are different types of routines:
1) Transform functions
2) Before-after job subroutines
3) Job Control routines
Ans: Routines are stored in the Routines branch of the DataStage Repository, where you can create, view or edit. The following are different types of routines:
1) Transform functions
2) Before-after job subroutines
3) Job Control routines
What are OConv () and Iconv ()
functions and where are they used?
Ans: IConv() - Converts a string to an internal storage format
OConv() - Converts an expression to an output format.
Ans: IConv() - Converts a string to an internal storage format
OConv() - Converts an expression to an output format.
How did you connect to DB2 in your
last project?
Ans: Using DB2 ODBC drivers.
Ans: Using DB2 ODBC drivers.
Explain METASTAGE?
Ans: MetaStage is used to handle the Metadata which will be very useful for data lineage and data analysis later on. Meta Data defines the type of data we are handling. This Data Definitions are stored in repository and can be accessed with the use of MetaStage.
Ans: MetaStage is used to handle the Metadata which will be very useful for data lineage and data analysis later on. Meta Data defines the type of data we are handling. This Data Definitions are stored in repository and can be accessed with the use of MetaStage.
Do you know about INTEGRITY/QUALITY
stage?
Ans: Qulaity Stage can be integrated with DataStage, In Quality Stage we have many stages like investigate, match, survivorship like that so that we can do the Quality related works and we can integrate with datastage we need Quality stage plugin to achieve the task.
Ans: Qulaity Stage can be integrated with DataStage, In Quality Stage we have many stages like investigate, match, survivorship like that so that we can do the Quality related works and we can integrate with datastage we need Quality stage plugin to achieve the task.
Explain the differences between
Oracle8i/9i?
Ans: Oracle 8i does not support pseudo column sysdate but 9i supports
Oracle 8i we can create 256 columns in a table but in 9i we can upto 1000 columns(fields)
Ans: Oracle 8i does not support pseudo column sysdate but 9i supports
Oracle 8i we can create 256 columns in a table but in 9i we can upto 1000 columns(fields)
How do you merge two files in DS?
Ans: Either use Copy command as a Before-job subroutine if the metadata of the 2 files are same or create a job to concatenate the 2 files into one if the metadata is different.
Ans: Either use Copy command as a Before-job subroutine if the metadata of the 2 files are same or create a job to concatenate the 2 files into one if the metadata is different.
What is DS Designer used for?
Ans: You use the Designer to build jobs by creating a visual design that models the flow and transformation of data from the data source through to the target warehouse. The Designer graphical interface lets you select stage icons, drop them onto the Designer work area, and add links.
Ans: You use the Designer to build jobs by creating a visual design that models the flow and transformation of data from the data source through to the target warehouse. The Designer graphical interface lets you select stage icons, drop them onto the Designer work area, and add links.
What is DS Administrator
used for?
Ans: The Administrator enables you to set up DataStage users, control the purging of the Repository, and, if National Language Support (NLS) is enabled, install and manage maps and locales.
Ans: The Administrator enables you to set up DataStage users, control the purging of the Repository, and, if National Language Support (NLS) is enabled, install and manage maps and locales.
What is DS Director used for?
Ans: datastage director is used to run the jobs and validate the jobs.
we can go to datastage director from datastage designer it self.
Ans: datastage director is used to run the jobs and validate the jobs.
we can go to datastage director from datastage designer it self.
What is DS Manager used for? [ Merged
with Designer in 8.x versions ]
Ans: The Manager is a graphical tool that enables you to view and manage the contents of the DataStage Repository
Ans: The Manager is a graphical tool that enables you to view and manage the contents of the DataStage Repository
What are Static Hash files and
Dynamic Hash files?
Ans: As the names itself suggest what they mean. In general we use Type-30 dynamic Hash files. The Data file has a default size of 2Gb and the overflow file is used if the data exceeds the 2GB size.
Ans: As the names itself suggest what they mean. In general we use Type-30 dynamic Hash files. The Data file has a default size of 2Gb and the overflow file is used if the data exceeds the 2GB size.
What is Hash file stage and what is
it used for?
Ans: Used for Look-ups. It is like a reference table. It is also used in-place of ODBC, OCI tables for better performance.
Ans: Used for Look-ups. It is like a reference table. It is also used in-place of ODBC, OCI tables for better performance.
How are the Dimension tables
designed?
Ans: Find where data for this dimension are located.
Figure out how to extract this data.
Determine how to maintain changes to this dimension.
Change fact table and DW population routines.
Ans: Find where data for this dimension are located.
Figure out how to extract this data.
Determine how to maintain changes to this dimension.
Change fact table and DW population routines.
njoy the simplicity.......
Atul Singh
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