Really helpful !!!

At most one key value pair per id per node (not key value pair per node as far as I understand) after using the reduceByKey().

you are awesome.

Great video

simply great

Thank you so much

Awesome course. Thanks a lot!

How can I combine queries to multiple data sources and get one result?

Why does it flicker so much?

🤩😍🥰 heather miller

thx you for this video, it helps a lot! <3

commenting for the KZbin algorithm

Wonderful explanation.... waiting for many videos from you on different technologies like HIVE and PySpark

this is god-level video. thanks a lot.

the only sorry that i cant get english

can you share the link of the scala course referred often in this series ?

we can't say database are structured, many no sql database do not support schema

Very impressive mentor you are....pls do full series on spark and scala ...and be a part of our journey.

Coalesce is a wide transformation? Can u pls explain in detail. Thanks

So many videos in other channel but this one after so many years still has best value content. Thank you !

What are the deciding factors for number of partitions

Only channel where a don't increase playback speed

why there is no mapper side optimisation for the groupByKey operation?

Hello, 1:30 for "fastest" calculation you apply shuffling in line 3, and after that you measure the duration. Why don't you include shuffling to duration? Data preparation also takes time. Unless you mean "shuffle once and for all", but in reality it is hard to imagine that you will be grouping by one column only in your calculations. Thanks.

Amazing.

Your teaching skills excellent. You know how to teach.Thank you so much......

finally, I found good videos about spark and scala and she is using crystal clear english

You make the best video among the Spark tutorials on KZbin, thank you!

we can use pre-partition in map RDD(like hash and range) how can I use it in Dataframe?

Please keep posting new videos on spark and scala ... Your videos are awesome 👍

Gold!!

absolutely great .... please add some more videos on spark real time use cases ... thanks

The concept is now clear for me after searching all over the net from last 3 months. Thanks a lot. Your videos are very simple to understand. Please upload more on spark as I have finished watching all your videos and they are simply superb.

❤️ From India

How Millions of data analysed by Spark?....

Excellent

would you be able to share the PPT ?

The best formation of spark !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Best

thank you

how to you filter by date like between 1-1-2020 and 1-30-2020 from a parquet file the date field is a string

how to you filter by date like between 1-1-2020 and 1-30-2020 from a parquet file the date field is a string

The best explanation I have ever seen.

the teacher has remarkable concepts, Hi teacher how can i join your course if you are offering. I am looking for Spark training

very impressive concept based knowledge. greate job.

Your explanation is amazing which I couldn't get even spending hrs.

Holy cow, u explained in 12min something I had to understand in 1 hour from other videos.

This channel is one of the best tutorial i have seen in youtube. Big thanks and I really appreciate it.

why all mediocre content in HD and one of the most imp in 360p... sick

Excellent one. Thanks.