End-To-End Data Engineering Project in AWS | Build complete Data Pipeline in AWS within 25 mins

[@ravirajasekharuni]

Very good information and practical steps

[@o0D3RMOT0o]

Thanks for the good tutorial, Few issues I ran into 1. I needed to point to a different bucket (I used the etl source bucket) for my redshift Temp bucket as the one you provided didnt exist in my environment. 2. I had to create a database connection in redshift to allow me to query it. I used temp user credentials using db name and admin username that was attached to the cluster. Hope this comment helps if anyone else runs into issues Thanks again :) Dermot

[@ankushgupta2292]

Great content and v well explained

[@TheTrustyTastebuds]

waah bhai, too helpful

[@khandoor7228]

Great series. Any plans to take this to the end with some data visualization? Also can this process be automated all the way through. From data ingestion through the data transformation to data visualization with db's and Redshift clusters along the way. What about step functions that is another orchestration tool that I am interested in as well. Thanks for all of this.

[@DataTechByAnandKumar]

Absolutely, I'll make sure to get it done.

[@swapnilmitkul]

Thank you ...

[@madhubanti123]

Hi Anand ...I have few questions.. Send connect in linkdin ...or is there any preferred method to connect ?

[@DataTechByAnandKumar]

Please send me an email with your questions.

[@HongKing-u4y]

Sir please make project on AWS data analytics architecture

[@DataTechByAnandKumar]

Will do

[@vemedia5850]

To follow along with this tutorial is it free services we can use in AWS ?

[@DataTechByAnandKumar]

Not all of them are free; there's a very small fee, roughly a dollar or two. However, I suggest removing the resources after finishing your tutorial to prevent any unexpected charges.