what is data warehouse | Lec-1

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In this lecture, I have started with understanding data warehouse.
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Опубликовано:

13 сен 2024

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Комментарии : 41

@hritikapal683 10 месяцев назад

Spark series was delicate content thank-you for that really excited enough to get along with the DW series!

@rakeshverma6867 10 месяцев назад

Very good and easy-to-understand content. Keep it up, Manish.

@rishav144 10 месяцев назад

very well explained . Please regular videos upload krein

@manish_kumar_1 10 месяцев назад

I will try my best

@pankajrao6895 10 месяцев назад

Areey maan gye guruji

@sunitamaurya5893 10 месяцев назад

Manish ji, I really love your content i am following your Azure series. i really appriciate aapne jis tarah hum subko inte easy langauage me sub kuch explain kiya bahot se content mujhe bahot dino se clear nhi ho rahe the but aapke channel ko join karne k baad bahot hi sahi tarike se clear ho gya hai.. i really wanted to connect with you... Thanks a lot for doing this for us... And you motiviate to us... it's not that easy but if you have good mentor so journey bcame joyfull.. that making for us... :)

@shananwar3199 10 месяцев назад

Good one.

@vijayvhanale8749 8 месяцев назад

Very well explained ❤

@sankuM 10 месяцев назад

10:32 hey @@manish_kumar_1, I feel there shouldn't be any comparison b/w DW & Spark because these 2 are very different entities. DW helps store processed data while Spark actually helps process the data to land in DW. Don't you feel so??? BTW what was the work that kept you away for a month???

@manish_kumar_1 10 месяцев назад

You are correct. I just explained because some of the people may get confused that if parallel processing is there and also data is stored in columnar based file format, so why can't we use spark. That was the motivation behind comparing these two. I was out of station due to job requirements.

@sankuM 10 месяцев назад

got it...🙌🙌@@manish_kumar_1

@rawat7203 10 месяцев назад

Great to see you after long gap

@DataAnalystt 10 месяцев назад

Thankyou

@karthikkumar432 10 месяцев назад

Finally you are back after a long gap.

@manish_kumar_1 10 месяцев назад

Yes

@user-gj2et8dd7i 10 месяцев назад

Commenting first being first viewer just to say your work is awesome!!!

@user-gj2et8dd7i 10 месяцев назад

Have talked to you over linkedin a few times, and you are as nice a person as a teacher

@manish_kumar_1 10 месяцев назад

Thank you so much 😀

@pmmodi3583 10 месяцев назад

❤

@Aman-lv2ee 4 месяца назад

in today's scenario Snowflake have all ai/ml capabilities, streaming and even handles all type of data, so very less difference with spark now

@mayankpatni5639 10 месяцев назад

Which is better data analyst vs data engineer who earn more and better future and can someone from non it background can become data engineer as a fresher

@raviyadav-dt1tb 7 месяцев назад

Do we need to learn data warehouse inspite if spark sql and scala hive ?? Please suggest

@blutoo1363 10 месяцев назад

Hello brother! Love your content. I was going through your spark playlist. I have a question. I have 2 csv files that I have stored by partitioning on a key. Both the files are partitioned on same key/key combination (values are same, although the actual name of the column could be different). Now I want to join the two, by reading them by spark.read , creating temp views and running basic sql against the temp views. I want to ask if there is a way to ensure that the partitions having the same key from both the files are stored on the same node when spark reads them to increase join speed?

@prabhatgupta6415 10 месяцев назад

bring something on delta lake

@navjotsingh-hl1jg 10 месяцев назад

very good manish bhai . bhai ab next video kab upload karo gaye

@manish_kumar_1 10 месяцев назад

Aaj aa rha hai🙂

@gauravsingh-gn4zz 10 месяцев назад

Data is updating in bw 12-2 pm . How to avoid duplicacy while writing in datawarehouse ??

@manish_kumar_1 10 месяцев назад

Merge can help you to avoid duplicacy

@mohitmanna7308 10 месяцев назад

Why do we need Data Warehouse when lakehouse architecture is there?

@manish_kumar_1 10 месяцев назад

Usko v discuss karenge aage ke videos me

@arunmalali7768 10 месяцев назад

Brother , i have a doubt . I am in a tier2 college . I want to pursue data engineering but does big tech companies hire data engineers who are just beginners or do they prefer masters and experienced people. After competitive coding should i do data engineering roadmap or any development. Please reply bhaiya ❤

@gauravsingh-gn4zz 10 месяцев назад

After one year you can come into Data Engineering domain. But as fresher it is hard but not impossible.

@manish_kumar_1 10 месяцев назад

Yes keep learning all the required skills for DE. You will get one. No need to go for masters, just keep in mind that openings may be less for Beginner

@shreemanthmamatavbal7468 10 месяцев назад

Are the videos uploaded daily or not ?

@manish_kumar_1 10 месяцев назад

No 3 videos per week on an average

@raghavendrakulkarni3920 10 месяцев назад

Der kardi 1 month se wait kar rahe hai

@manish_kumar_1 10 месяцев назад

Sorry for the delay

@VishalSharma-lz6ky 3 месяца назад

Why you are comparing data warehouse to spark? spark is different thing This is awkward, here you are telling Spark

@manish_kumar_1 3 месяца назад

I think you don't want to understand the similarities and difference between these two tech stack. I don't find anything wrong here. As I said both uses distributed computing to solve business use case. There are multiple points where we can compare these two. Even Architect does the same thing before designing the solution, which will serve better.

@VishalSharma-lz6ky 3 месяца назад

@@manish_kumar_1 yes You are right both uses distributed computing framework. My question is how we can use spark as a Datawarehouse solution. Spark is the general purpose in memory compute engine. But we can't use Datawarehouse on top spark.