Відео

Also I encourage for the New Viewers! Don't Involve in this project! As there no proper information or Instances to complete it.

I Tried to do the project! But failed in Uploading the Machine Learning ONXX Files! The repository where you kept in description doesn't even have proper files! If anyone need Synapse SQL code i have updated in my repsoitory! Check that! github.com/MithunDataPro/Fraud-Analytics-using-Azure-Synapse-and-Power-BI-End-to-End-Project.git

wish I could see it....

Great

Can you please provide me your github link, where this code is uploaded. It's urgent

Hello sir, can't we use spark streaming directly to fetch the data from twitter? What are the benefits of using kafka over spark streaming here?

U don't have GitHub

Amazing class, thank you.

Big project and learned lot of things thank you

please expecting next video sir please make one

Hello

Wow, very detailed. Loved the explanation! Thank you!

Please provide us the notes

Worst Explaination ever... If you want to explain hurry burry Why to make videos..... Datafactory side not even explain anything properly ( get metadata schema parts ) ..... Prepare how to explain..before making video

where is first 4 videos?

where is the part-2 video uploaded sir?

Where is the full video, or implementation part?

The explanation is very good and clear but as you did not provide the databricks notebook it is not going to help viewers because we learn and understand better through practical.

Hi sir Hope you are doing well I am an enthusiastic fresher data engineer. I want to create a data engineering project by taking a one month free subscription on Azure Cloud and show that project on my resume. If my one month free subscription on Azure Cloud expires and the resources get exhausted, will my data engineering project disappear or I will not be able to see it? Can I still show my data engineering project on my resume and the company can see it even after my one month free subscription on Azure Cloud expires? Thank you so much

Hi A doubt in the lecture at or around 44:40, from hash table from small dataframe, there are records like 1) A 1-50, 2) B 51-100 3) C 101-500 , Here A,B,C are hash values ? in that case customer_id is unique ryt, then how come buckets are generated? each hash should have separate bucket ryt? and also one more question, once the probe table is joined to Hash table, to get the bucket id what happens after that? how the customer data gets joined? because hash table does not contain the customer information ryt? even in the case of broadcast hash join concept, you mentioned broadcast is happening for hash tables (52:10) . but when i check other resources they mentioned , the smaller table itself is broadcasted to all the worker nodes where the other dataset resides. please confirm this one too?

Plz remove bg music

bro can you please provide the onenote?

Nice video 😊

Great video brother!! Kudos!!

👎👎👎

Just informing you none of your viewers can work this project because the SQL ingestion script is missing. I tried typing all of it in but there's still some missing

Please share the documents

shame there are Audio issues and unable to grasp a considerable amount of the video.

Happy new Year 2024

Hi , very detailed vedio . Any chance would you share this onenote book please?

Excellent details...thanks so much

aazing project but i was unable to do it. you provided the dataset, but i tried recreating the script you used to create the table. i had to quit because i couldnt see all of it.

Amazing sir!! please keep doing

Great work bro ! One thing that I missed is how to setup with multiple brokers

big project, man ! congratz !

Can you please share your slide decks or notes files?

Poorly explained. Dont go by views😊

great content ! 😊

Thanks for the great content. Can you please create a video on Spark Performance Tuning using Spark UI with Hands on, so that it would be easy to visualize things internally.

nice video full and clear explanation ,thank you

how ratings.csv looks like? Its not shown in the video

can u plz upload full video

Hey can u please share these notes

Hi, Can u share these notes?

Kindly share the gitHub link for the code.

Great Work Bro

this video is enough for data engineering coding part?

Great video ❤ Can you please share the notes as well as that would be so helpful

couple of things i have noticed : 1) you have filtered only COMPLETE orders only and trying to use wide transformation where there is no scope of shuffle 2) No of jobs depends on no of actions No of tasks depends on no of partitions of data