Nice sessions sir...Please make videos on ETL Validation by using pandas Validation as 1) count validation 2) Duplicate validation 3)Structure validation 4) Data validation Thank you
Hello Sir, Thank you so much for these videos. I have learned a lot from your videos. Request you to please continue this series and cover more ETL testing related scenarios. We don't have such a nice material of ETL with Python on RUclips. God bless you!!!
Thank you very much sir for sharing such a piece of valuable knowledge. please do continue this series as we never get such content regarding etl testing with help of panda anywhere else which will help in realtime industry. once again thanks a lot
Hi sir, kindly do some videos on how do we validate data for duplicate check,null check, field level validations and few of the transformation checks by using pandas
Hi sir , Can you please make videos on ETL automation testing for below scenarios. Need to create generic scripts and run every day and capture the results. 1)My source is file, target is table. Step 1: I need to pass source and target details through parameters step 2: I want to read the data from source and target Step 3: I need to compare data from source to target Step 4:capture Unmatched records should copy into one file Step 5: Capture record count difference 2)My source is table, target is table. Step 1: I need to pass source and target details through parameters step 2: I want to read the data from source and target Step 3: I need to compare data from source to target Step 4:capture Unmatched records should copy into one file Step 5: Capture record count difference 3)My source is file, target is file. Step 1: I need to pass source and target details through parameters step 2: I want to read the data from source and target Step 3: I need to compare data from source to target Step 4:capture Unmatched records should copy into one file Step 5: Capture record count difference
Nice sessions sir...Please make videos on ETL Validation by using pandas
Validation as 1) count validation
2) Duplicate validation
3)Structure validation
4) Data validation
Thank you
Very useful video. Thank you so much.
Glad it helped !
Hi.. Bro. It is very important videos.. Your work never wasted..
Hello Sir, Thank you so much for these videos. I have learned a lot from your videos.
Request you to please continue this series and cover more ETL testing related scenarios.
We don't have such a nice material of ETL with Python on RUclips.
God bless you!!!
Keep watching. I have started java series for selenium later
Please continue with this series for all kind of etl validations.
very informative session sir. thank you
Thank you so much for this video.. and Expecting more videos in pandas library
Thank you very much sir for sharing such a piece of valuable knowledge. please do continue this series as we never get such content regarding etl testing with help of panda anywhere else which will help in realtime industry.
once again thanks a lot
Hi sir, kindly do some videos on how do we validate data for duplicate check,null check, field level validations and few of the transformation checks by using pandas
Not sure if you explored the pandas series . I have covered some basic scenario there
Good,i am very much interested to learn Python ETL Testing automation. Can you please cover as much as possible cases.
Nice session sir
Please make one full length video on all ETL validations using pandas.
Please do check the recent uploads on pandas usage for etl testing
Sir plz make more videos on pandas. How to validate the data, how to join the data etc
hi sir , how to compare data from csv file and database. please make more video's for ETL automation.
Hi sir,
Could please start Shellscripting sir
thanks for awesome session..do we have more parts of this or only these two are sufficient for ETL automation
Please continue to make this Panda series.
Hi sir, please continue with this series
Hi sir , Can you please make videos on ETL automation testing for below scenarios.
Need to create generic scripts and run every day and capture the results.
1)My source is file, target is table.
Step 1: I need to pass source and target details through parameters
step 2: I want to read the data from source and target
Step 3: I need to compare data from source to target
Step 4:capture Unmatched records should copy into one file
Step 5: Capture record count difference
2)My source is table, target is table.
Step 1: I need to pass source and target details through parameters
step 2: I want to read the data from source and target
Step 3: I need to compare data from source to target
Step 4:capture Unmatched records should copy into one file
Step 5: Capture record count difference
3)My source is file, target is file.
Step 1: I need to pass source and target details through parameters
step 2: I want to read the data from source and target
Step 3: I need to compare data from source to target
Step 4:capture Unmatched records should copy into one file
Step 5: Capture record count difference
Hi SIr, Can you please make video on this scenarios in order to implement in Automation using python.
thank you sir
Sir plz, continue pandas series plz
Hi sir,can you please prepare test plan on Etl testing
Hi sir , can you create one video on SQL server management tools like SSIS, SSRS
Sir when will be next video??
Sir, plz share all the source files
Hi Arijit, you can just create simple CSV or Excel files for your practice . Let me know if any challenge with this happy to help
@@etlqalabs5048 ok