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@fingloidfing33373 жыл бұрын
Thank you very much Know*. I passed my IBM Datastage interview using these videos.
@LearnatKnowstar3 жыл бұрын
Glad to hear that! Congratulations!
@ramonajack33853 жыл бұрын
It has been several years since my last interview. This video will allow me prepare and be more relaxed.
@LearnatKnowstar3 жыл бұрын
Thank you. All the best for your interviews!
@shekharmayekar6562 жыл бұрын
One of the best videos regarding Datastage concepts...Thank you
@LearnatKnowstar2 жыл бұрын
Thank you
@vaishalisingh83755 жыл бұрын
Thank you so much for your time and efforts ☺️. This is extremely useful .Will be looking forward for more such videos . 👍
@LearnatKnowstar5 жыл бұрын
Glad that you liked it. More videos coming soon!
@sunithasriharikrishna73594 жыл бұрын
Great video pretty much covers most of the interview questions
@chakshoomalhotra8937 Жыл бұрын
Thankyou so much Because of your datastage playlist I was able to clear my interview
@LearnatKnowstar Жыл бұрын
Thank you so much. So happy for you 👍
@vidhyasagar79785 жыл бұрын
Thank you very much.Your videos are very helpful.Please keep posting more practical scenario based question videos
@LearnatKnowstar5 жыл бұрын
Thank you. More videos are coming soon.
@sakthivelnatarajan24704 жыл бұрын
Thank you so much for the detailed basic architecture.
@LearnatKnowstar4 жыл бұрын
Thank you
@nirajpathak05705 жыл бұрын
Thanks for the such a informative questions and answers please keep post more such a nice video.
@LearnatKnowstar5 жыл бұрын
So glad that you liked the video. More videos coming soon!
@tarun_rafa Жыл бұрын
Thankyou so much, very precise explanation with sweet voice, quite helpful
@LearnatKnowstar Жыл бұрын
Thank you
@kirankumarmanchur30493 жыл бұрын
Great Video for Beginners and I started learning Data stage!! Thank you so much 😊
@LearnatKnowstar3 жыл бұрын
Thank you
@swetajha30265 жыл бұрын
Hi The video was very helpful. I am looking for more scenario based questions. As you mentioned it will be coming in part 2. Eagerly Waiting for that.
@LearnatKnowstar5 жыл бұрын
Thank you for your positive feedback. There will be more videos in the series covering the remaining topics and scenario-based questions.
@4rmtinc4 жыл бұрын
Thank you very much. Well explained. This is very helpful.
@LearnatKnowstar4 жыл бұрын
Thank you
@hv00321135 жыл бұрын
This is very helpful. Waiting for further sessions.
@LearnatKnowstar5 жыл бұрын
Glad that you liked it.
@venkateshvenky58993 жыл бұрын
These videos are very helpful. Thanks for sharing.
@LearnatKnowstar3 жыл бұрын
Thank you!
@shaheedjahagirdar2 жыл бұрын
It's too informative, good 👍 work
@LearnatKnowstar2 жыл бұрын
Thanks so much!
@erwintraining53205 жыл бұрын
Thank you for this video. Please post more questions.
@LearnatKnowstar5 жыл бұрын
Thank you for your positive feedback. More videos will be posted soon.
@namaranadaf37114 жыл бұрын
Very helpful. Thanks for sharing
@dimpyrathore8184 жыл бұрын
These are very helpful for Datastage interviews.
@LearnatKnowstar4 жыл бұрын
Thank you.
@tarunteja79244 жыл бұрын
This video is useful. thank somuch we hope you more useful videos like this
@LearnatKnowstar4 жыл бұрын
Thank you.
@HarshalaPatil-cx1fd Жыл бұрын
This is very helpful.
@LearnatKnowstar Жыл бұрын
Glad it was helpful!
@jeyapraveena51402 жыл бұрын
Best explanation mam. Really helpful
@LearnatKnowstar2 жыл бұрын
Thank you 🙏
@gayathrigj2 жыл бұрын
Can we use entire partition in join stage? Like lookup stage. Similarly can we use hash partition in lookup stage? Like in join stage
@nagarajdandu83012 жыл бұрын
Hi , join stage use to HASH partition lookup use to entire partition
@make_it_worth69154 жыл бұрын
I have a doubt in understanding how to handle early arriving facts... Can you include that question in your video?
@LearnatKnowstar4 жыл бұрын
We will surely plan a video soon.
@sreekanthk20264 жыл бұрын
Please post videos how Unix can be used in datastage project
@LearnatKnowstar4 жыл бұрын
We will definitely plan it. You can also check out our video on this topic. kzbin.info/www/bejne/h6HGYYCPqcySsKs
@karunaraghuwanshi73023 жыл бұрын
Very helpful and well explained. Can you please make more videos on datastage concepts/stages and scenario based questions.
@LearnatKnowstar3 жыл бұрын
Thank you. More videos will be posted soon.
@mohanalert3 жыл бұрын
its really helpful thank u
@LearnatKnowstar3 жыл бұрын
Thank you
@visaalakshiselvaraj55723 жыл бұрын
Very helpful.... thanks a lot 🙏
@suryar.k9602 жыл бұрын
Thanku so much... Such a helpful video😊
@LearnatKnowstar2 жыл бұрын
Thank you for your support!
@vivekgiri72625 жыл бұрын
Very helpful...👍👍
@LearnatKnowstar5 жыл бұрын
Thank you for your positive feedback
@dineshhariharans50135 жыл бұрын
This is very helpful. Please post more of scenario based questions and interview oriented questions.
@LearnatKnowstar5 жыл бұрын
Glad you liked it. Thank you. More videos are coming soon!
@madhuk23204 жыл бұрын
Great video and well defined of stages👍
@LearnatKnowstar4 жыл бұрын
Thank you
@Sumit2619904 жыл бұрын
thanks , i was extremely useful
@monika781652 жыл бұрын
Very helpful
@LearnatKnowstar2 жыл бұрын
Thank you
@mano-sq2gh5 жыл бұрын
Hi, Thanks for the video.. I have a question.. I have a file with records and another file with delimiter.. target file should contain both record and delimiter.. how to achieve this?
@LearnatKnowstar5 жыл бұрын
Thank you for your positive feedback. You will need to use an after job unix command in this case. You can generate the output file with records and a default delimiter of your choice. You can then use the after job command to replace the default delimiter with the delimiter in the second input file.
@soundaryakn20754 жыл бұрын
Good video to understand beginers
@LearnatKnowstar4 жыл бұрын
Thank you
@raj528584 жыл бұрын
Thanks for your valuable videos. Could you please tell how to search for data in a large dataset?
@LearnatKnowstar4 жыл бұрын
Thank you for your comment. If you are talking about viewing and finding data through a dataset stage, then there is an option to find data Ina particular column. A more practical approach is to make a copy of the job and apply a filter on the data you want to search and write it to a dataset or a peek stage.
@vivekgiri72623 жыл бұрын
if a job running on 4 node creates a dataset and some other job running on 2 nodes is reading that dataset. Will it be able to read the complete data, or partial data, or no data?
@LearnatKnowstar3 жыл бұрын
Datastage will repartition based on dataset descriptor configuration file. All data will be read correctly.
@vivekgiri72623 жыл бұрын
@@LearnatKnowstar thank you so much for your answer :)
@hv00321134 жыл бұрын
Can you please also cover the Data stage architecture?
@LearnatKnowstar4 жыл бұрын
We will surely plan a video soon.
@shikha1818183 жыл бұрын
What will happens if we delete descriptor file not data file and try to run the data Stage job. Will the job files or it will run???
@LearnatKnowstar3 жыл бұрын
The job will fail as the descriptor file describes the location and metadata of the dataset.
@sunithasriharikrishna73594 жыл бұрын
Lovely video
@LearnatKnowstar4 жыл бұрын
Thank you
@RAMINAIDU772 жыл бұрын
What's the partition we can use for primary link in look up stage?? Reference we can use entire partition.
@LearnatKnowstar2 жыл бұрын
You can leave it as auto
@RAMINAIDU772 жыл бұрын
@@LearnatKnowstar other than auto which partition is best??
@supreranap98314 жыл бұрын
good mam
@prasanthkumar27955 жыл бұрын
Can you explain how to get nth row only example I want only 100th row from a record
@LearnatKnowstar5 жыл бұрын
If your input is a database, try to achieve this in the source SQL by using rank or rownum functions
@LearnatKnowstar5 жыл бұрын
If your input is a flat file, then it is easier to achieve through Unix commands - you can use head/tail commands
@LearnatKnowstar5 жыл бұрын
In datastage, generate unique I'd as explained in link below and filter on 100th row www.ibm.com/support/knowledgecenter/en/SSZJPZ_11.3.0/com.ibm.swg.im.iis.ds.parjob.dev.doc/topics/r_deeref_Example_column_generator_stage.html
@vivekgiri72625 жыл бұрын
Run the transform stage in sequential mode and give the constrain as @INROWNUM=100