Amazing I learnt a lot

thanks for creating the video

Informative ❤️

Superb explanation...one stop solution for joins in spark

@BigDataThoughts

Жыл бұрын

Thanks rakesh

I love this video

@BigDataThoughts

10 ай бұрын

Thanks

Nice video , Can you explain the same concept from Dataframe standpoint in spark 3.0 ? Practically speaking we tend to use Dataframe( Or dynamic frame for AWS) over rdd for most of our task.

Thnku very much

This video was very informative. But could you make a video showing how things are being done practically? Also will you please make a video covering the spark.sql joins? That will be extremely helpful. Also, I must admit that I love taking notes from using your videos. Please make more.

@idigvijayrathod8566

Жыл бұрын

yes there should be practical

how sort merge join is different from shuffle hash join?

Excellent 👍.

@BigDataThoughts

Жыл бұрын

Thanks

@TheTazuddin

Жыл бұрын

Any online classes for Pyspark.. ur videos are very helpful to understand the concept in deep. TNX for sharing ur knowledge

Can you post some videos on Architecture design patterns and techniques?

@BigDataThoughts

2 жыл бұрын

Sure there are few I have already posted on my channel. Will post more

Thank you. Any tips for cracking interviews

@pradeepdotiyal1015

2 жыл бұрын

No she won't . She need to grow her channel and that's it

@397rohit

2 жыл бұрын

@@pradeepdotiyal1015 lol.. true

Bucketing is also a good optimization technique to avoid shuffle.

@BigDataThoughts

2 жыл бұрын

Yes there are many ways and partitioning can also be one of them

@venkatasai4293

2 жыл бұрын

@@BigDataThoughts what is the exact difference between persist and cache. Which is one better ?

Sometimes I don't know how to thank you.

@BigDataThoughts

2 жыл бұрын

Thanks sumiran

Could have been better, if the slides had good expamles instead of plain theory