Azure Databricks - What, Why & How

[@annielosangeles]

Thank you, Dinesh. Now I feel like I have truly started my exploration of Databricks.

[@DineshPriyankara]

Thanks for lovely feedback Annamarie.

[@rahulbandewar8816]

You have very simple and effective way of explaining things. I am eagerly waiting for your next video on Azure Databricks. Thank you 😊

[@discovery-dx3ry]

Hi Dinesh, I am very grateful for your video. It was subjective, precise and visual tutorial.I loved it. Thanks

[@DineshPriyankara]

Thanks

[@SMARTPALASH]

I already watch few video before but this one is outstanding. This one is very helpful thank you Dinesh. Please keep it up.

[@sameerspl]

Thank You very much Dinesh . Absolutely Bang On ! Very Clear and Crisp . What I needed . Cheers Mate !

[@ArunKumar-kl4eb]

Great tutorial. Complex logic explained in simple terms. great work!

[@reggied1811]

Very good explanation...thank you.

[@khushbookumari-pc2xw]

Thank you so much for these videos. you make the content very easy and understandable. It is really helpful for us.

[@ramsys9906]

Thanks Dinesh. This was brief and up to the point tutorials.

[@priyadarshinis8008]

Thanks for the informative video 👍

[@Jainnikunjin1]

Nice video, very easy to understand, thank you!

[@na111111]

Thank You Dinesh.. Loved it.. Please do more in depth videos.

[@deepaksahirwar]

Excellent Explanation! Thank You

[@srinivasanpalaniappan8885]

Very neatly explained. Thanks.

[@MrDuggu]

Hi Dinesh... That's a very good explanation. Please let me know if you have uploaded a full course on databricks. Waiting for your reply

[@kavyatcs7403]

awesome explanation

[@hemantsrv]

great video..Please make something more on databricks...

[@saikishorebolagani197]

Thank you sir, very useful video for learner's.

[@alphacharith]

Thank you Dinesh for the great explanation

[@krishnakuraku6853]

Thank you so much sir..please upload more videos

[@parthadebnath6616]

Thanks. This is very helpful for beginners. In this video, which database has been used to create the database and table in Azure Databricks ? How I can import my existing Pyspark scripts in Databricks which uses Hive?

[@fetouhnada3912]

Thanks for your efforts ,and we wish more

[@eugenemagloire9456]

thank you sir well explained

[@venkataanumolu8101]

Great job sir !! awesome explanations and very helpful..please dont bother about views sir ..slowly will increase ..please continue the same explanations.

[@DineshPriyankara]

Thanks Venkata, appreciate your comment.

[@zitkala100]

Thank you, Dinesh really such nice videos. I love it. Waiting for your next videos.

[@pragyasharma3892]

Hello Dinesh It was a very helpful video about Databricks and you explained every point very nicely. Just a help i need,I have to give a presentation on Databricks as I am a fresher I dont know much about it.if you could help me with the presentation it will be a great help.😊😊

[@nisalm]

Great content and clearly explained.

[@bojjasrikanth830]

please do more videos ...thank you sir

[@velupalani2496]

Thank you very much for nice explanation !.

[@saurabhgulati2505]

Bava you Totally Rockz 🙌

[@gauravtanwar3695]

Thanks Dinesh !!!

[@chaitanyakmr]

Cooool video, thank you very much

[@sid0000009]

Where exactly the table created is being stored? Notebook is more for code executions and computation processing purpose if i am correct?

[@DineshPriyankara]

Hi Chaisen, It is stored in a data lake storage created for your workspace. If you go to data explorer, you will see the uploaded file in DBFS. As you see in the video, in order to get the table created, you need a cluster. Not only that, you need a cluster for reading data as well. However you can drop the cluster when it is not required but table you created will not be available if there is no clustere in your workspace. Once you have a new cluster, you can see the table again and you can query it as data is stored in DBFS.

[@krishkrishna9946]

Super bro...

[@venkatx5]

Column delimiter is "Semicolon" @27:53 ? :)

[@Rafian1924]

Awesome

[@anujgupta-lc1md]

can you upload more videos transformation by spark and scala

[@sundarbusi]

Cool content

[@raz8657]

Thanks Dinesh

[@matrixlnmi169]

These are tightly couple based approaches , if solutions need to move to another cloud provider in those cases? A new fresh investment would be required

[@Manisood001]

kindly make course on udemy

[@rahulbandewar8816]

You have very simple and effective way of explaining things. I am eagerly waiting for your next video on Azure Databricks. Thank you 😊