Olympic Data Analytics | Azure End-To-End Data Engineering Project 

This was such a great video! The way you explained the complex process made it really easy to understand, even for beginners. I especially appreciated the real-world examples and step-by-step demos. Looking forward to more content like this-thanks for helping me get started with this!

Darshil, you are an amazing human being, giving such informative tutorials free of cost is quite rare these days so I really appreciate your efforts. Thank you so much for teaching with so much clarity and simplicity. You're the best!!❤

Thank you Darshil for providing such end-to-end data engineering projects for our viewers. The efforts you been putting on are so great. looking forward for more and more projects... thank you once again...

I had not idea what I was doing. But I followed your lead and completed the project. I'm sold on this journey. Thank you!

I've checked bunch of channels and series videos and it seems you know what you're doing and love what you're doing. Great great work! Subscribed. Keep up!

It was a great tutorial. I followed each and everything which I feel help me building the portforlio to apply for data engineering. Thank you so much. From now on you are my data guru. :)

I'm so glad I found this video before I started my Azure Data project. It saved me so much time and frustration. And I'm definitely subscribing to your channel and looking forward to more Data related tutorials.

These many views but why LIKE counts are still less? Take one second to like and help this channel to grow :) please?

Hello, Darshil. Today, at 4:50 PM, I finished the first phase of Data Engineering adventure, and the sense of success is beyond description. The joy I feel is great, and I wanted to share it with you because you inspired me to begin this adventure. You will always hold a special place in my prayers. Thank you so much, Darshil, for contributing to this accomplishment. With deepest thanks.

Hey Darshil, I wanted to thank you for the informative and useful session. Your content is great and very helpful. I appreciate that you are one of the few RU-vid channels that covers end-to-end data engineering projects.

Thank you so much brother. Your motivation helped me get my DP-203. Now I’m currently doing a guided project from udemy. Once that is done, i will surely do this❤

Amazing introductory course taught with adequate attention-to-detail, and well delivered too! Kudos man

Your content is gold!. I hope you keep doing such exciting work. Glad to have come across your channel!

Hi i started to learn Data Engineering, there's not too much info on youtube and internet at all, but this video by far has answered a lot of questions i had for a long time, thank you so much!

Thanks for this beginners guide Darshil, helped to understand the fundamental functioning.. hope to see such playlists more!

Thanks darshil for this project. I have completed the remaining part of the project i.e powerbi dashborad.

Hats off to you!!! Very Good to understand and follow for beginner's😊😊

Great video! very clear explanation without going into too much detail. Thanks for making it!

Great content Darshil, After completion of data engineering internship, Iam looking for real time open source projects, this is one of the best project i have found it covers all major Tools/Technologies that i have learned in the internship. Thank you.

Hey Darshil, Your video was a game-changer for me! I've always been curious about the inner workings of the industry, and your content came at just the right time. Your teaching method is incredibly effective, breaking down complex concepts into easy-to-understand chunks. You've given me the direction I needed to kickstart my learning journey in this non-tech realm. Now, I not only understand how it all works but also know where to focus my efforts. Your comprehensive approach for beginners is exactly what I was searching for. Expect me to be a regular viewer, soaking in all the valuable insights you share. Thanks a ton for being the guiding light I needed!

Hi Darshil, Great demos and tutorials, really appreciate your hard work , Please keep this going you are helping many... I had a quick question. : how do you do Increamental loads in the process also how do you handle SCD type 2 etc. Talking about the projects which are used to build the data lake/delta lake, and AWS projects for datawarehouse on redshift etc. could you please shed some light on both the processes

Great video! Not a Data person but really understand the concepts from it! Moving to next part now! Thanks a Lot for this! :)

You are doing a very good service for the data engineering aspirants. Keep it up. Godspeed.

amazing Drashil, as you said in the video many people take thousands of money for this but you still explained it very easy and free of cost for the viewers, appreciated brother..... thank you

I'm a totally a beginner. Completed the part 1 successfully. Truely thankful to you. ❤

Well done Darshil very intuitive video, appreciate the work. Can you do a video on how to schedule a python script on azure to run on a schedule, the python script could be extracting data from an API or something and then loading it to blob storage. Just giving ideas.

Hey Darshil, I have completed first part, following along. A big thanks to you for putting so much efforts. The idea of explanation of services along with ongoing project is awesome. Keep doing such great work.

Whenever I watch your video, I gain new insights. Thank you; your efforts are truly appreciated.

This is amazing, bro! Thank you for the detailed hands-on session. It's easy to understand.

This is my very first comment on RU-vid normally I just watch but ever since I got the idea of transitioning into a data engineer, I've been watching a lot of videos and I am 100 percent sure this is the best! Thanks, Darshil!

More Support to you brother ❤ All your videos are helpful And your Channel is DEFINITELY a GOLDMINE 😊

this the kind of projects I have been waiting for. I really want to thank you for your great content

Hi Darshil, This video helped me a lot in kickstarting my understanding of Azure Databricks. I am glad to have come across your channel. Thanks a ton for this and I hope your channel grows beyond expectations :)

I like the way you describe! I am very greatful that you included all tools even some features overlapping

I have watched many data engineering videos on youtube, this is by far the best one I ever watched, thanks alot

Incredible tutorial, and a great intro to Azure!

Love the structure of this walkthrough, the level of detail is just right amount.

Interesting bro, Thanks for sharing Azure End-To-End Data Engineering journey.. part 2 is loading.

Million thanks Darshil for sharing knowledge.. I just resume from my maternity leave and your videos give me so much confidence to upgrade my skills.. Many more success to you

I am still working on this project alongside the video at 59:42 and couldn't resist thanking you enough, @DarshilParmar. Keep up the good work, champ.

Great content. Completed implementing the same. It was smooth.! Waiting for second part.

Nice one however we could have used for each loop and pass file names from an Array variable that contains name of the files. Relative URL field could have been used to refer to each item in the array.

I just completed the Python course today I got notification 🔔 of this project It's really great learning Thank you Darshil Please give me like ❤

Nice Explanation bro, experts generally cut of the thinking part and just show things in a mechanical way, but you tellin your though process while doing things makes learning very interesting and avoids distraction as we are not needed to serch for small small details at any other place.... Thanks man

This was awesome Darshil.. had a great time implementing this alongside you.. great explanation.

Darshil.. I have one basic question. It might sound stupid question but I just want to know that both Datafactory and datalake can be used to store the data, I am unable to figure out Why do we need datalake when we can ingest the data in the data factory? Basically i googled for the difference between the two but still I am confused about the core difference that these two services had when both seems to store the data and perform desired functions? Any help would be appreciated.. Thanks

Thanks for such amazing content Darshil! Trying out Azure for the first time. :)

I just want to say a million, thanks.. I just finish my Azure Synapse Analytics certification, and this video gave me so much confidence for my interview.

Thank you for putting this together from PR. Clear explanations and to the point... I like how you made mistakes and solve them on screen and explanation of services. Ill follow and await patiently while honking my horn on the parking lot :-) for more content. Quick question while going through it the col function was not there on data Bricks. is it common to install the library through the commands or should I install libraries at the beginning like I have seen on regular python scripts?

Congrats perfect explanation comparing to other channels now I can cleaar understand all the steps ingestion, transformation and storage

Just finished this part without issues... easy to follow. Will do the second part a little later... Thanks Darshil.

Thank you darshil for making data engineering look so easy.

Thank you again for this video, I just concluded my version, and I am excited to make on research on what have learnt and keep practising

Reached 1:00:22 and Taking a short break. It's really informative. Thank you Darshil!

Completed the ADF part, thanks for structuring this so well Darshil :)

Ya definately most wanted channel 🎉 your every video is most appreciated. Please continue this series and upload part2 of this project

I just completed the first part without any issues, welldone and thanks for this content, looking forward to more

Thank you. It is a very good project to connect different Azure products and learn more about the Data engineering tasks, even if it is in a smaller scale. I will definitely try to implement something similar in the future, but using APIs and from there I can do the transformations either in Azure DF (like mapping Data Types) or Azure DBricks.

This video is just awesome to learn so many things and understand. Thank you so much for creating such helpful content and making things simple and clear. You are doing a great work, keep going, you just got a new subscriber :)

Bravo for your effort! Video quality has been improved a lot. Keep going!

Just finished this part!! Thank you for creating this valuable content.

I liked the UI of Azure Synapse Analytics better than the others. Thank you so much for all the knowledge.

after personal learning, just created this project. Thank you so much for the video.

By watching until the architecture part, you grabbed me as your subscriber. Looking forward to complete all the project playlists. 🎉🎉🎉

You r a god.... because this video..hope you make more videos

One suggestion i would like to provide this is not a recommened way to copy each data everytime using each copy activity. U can simply use parameter which will be passed at run time. It will read parameter one by one then perform copy activity. Just like copy activity inside a for loop

Young man, you deserver a kiss on your forehead for this fantastic piece of presentation in wonderful way -- May God Bless you

I would suggest a metadata approach and parameterising the source and sink rather than creating multiple copy activities with a control table.

Hey Darshil, Thanks a ton for such a valuable crisp amd concise knowledge transfer video! Really Appreciate your work!

Exactly what i was looking for in cloud computing using azure, thanks so much!

Thanks Darshil! I was able to complete the project, and I learned so much along the way!

a quick overview to understand the similarities between each of them! great video bro

Amazing videos!! Please make something like this for Microsoft Fabric. It very much needed.

Great ....you are just giving the valuable content for free....god bless❤️🙏

Thanks so much Darshil! Wonderful - it really helps with the jitters of understanding so many different tech stacks! :)

With this kind of amazing tutorial and explanation gives interest to learn more

You are doing grate work, thank you so much for providing such content which is full of knowlegde. 💙

Mount point is not suggested since there is no security possible i.e. anyone having access to the databricks workspace can access those mount points. Use abfss path as the alternative

Thanks a lot, Mr. Darshil please Keep posting like these videos about data engineer projects again thank you a lot your videos help me a lot

Thank you. Please keep creating similar projects. Something I’m struggling find is end to end machine learning project with front end web application to interact with the ml model.

Just completed my first project, Thanks alott Keep upload azure data engineering videoss

Thank you for the detailed project. I'm going to learn and replicate it in my free time and on the weekend

Thank you Darshil I have reached 1:00:03 / 1:35:59 • Complete Project Execution

Hi Darshil, I have faced a issue when tried to build the pipeline as i could not http option in data factory to create a source in pipelines, please help me with this issue, Thanks!

Thank you for sharing your knowledge with us. Lots of support from everyone.

Thank you so much brother for providing such a beautiful insights on end to end data engineering project.

Thank you Darshil for sharing this content. May God continue to bless you

You're doing very well Darshil. I've reached the end of the data factory part and I promise to finish the video. Keep doing well

Just want to say Thank you for teaching in such an easy wayy

Thank u so much bro I copy pasted all of your video content and eventually got the best project in the class. ❤️

Hi sir I personally thank you very much for the AWS Data Engineering Project series and we are learning a lot from them. We all are really grateful for this level of your generosity. Our humble request you to create an Azure Data Engineering Project using SQL & SSMS as there is only one project of Azure Data Engineer. We want to learn more about the Azure Data Engineering Project as there is no Azure Data Engineer project using Bronze, Silver & Gold layer transformation in PySpark DataBricks and SSMS respectively. I hope our request will soon be accepted from your end. Thank you so much for your valuable guidance & support.

Thank you Darshil and showing the different Azure Services. What is the benefit of using different services or why shouldn't we use just azure synapse to implement all steps mentioned?

Thank you for the video. Do we need to publish the first pipelines that we've created at the 1 hour mark? If I close the tab with the pipelines, all the info is discarded.

Hi Darshil, thanks for an awesome project demonstration on Azure cloud. Few things that miss on all YT project videos are the lack of implementing incremental load how the pipeline would handle and another very specific to Azure, how collaboration and CI/CD works with drag and drop. Could you please add some of these concepts with practical.

Thank you so much for the great effort. You have unparalleled teaching style. Alternatively, When there is a option to upload file in DataLake Gen 2 directly, why are we writing a pipeline to fetch it from some HTTP page?

I am using trail account created by edu email and it's not allowing me to create the app registration, I tried to change the user settings and I don't have permission to change that. I believe the issue with the azure active directory, any one faced this issue?? Please help me out.

Absolutely fantastic Tutorial. Please continue to post such in future.

Thanks, Darshil I completed part 1. I faced challenges because the account I was using is a student ACC and don't have access to Azure Active Directory to create app, but I was able to create using CLI and completed everything without an error

Hi darshil , do we need airflow in this project, or is it a complete pipeline?

For linked services, does the source has to uploaded somewhere? Or can I work with local DBs on my machine?