HI Brother, Thank you so much for your videos. It helps me to crack the interview and i got placed in IBM. To learn in Tamil is easily stored in my memory. Keep uploading images to learn more from you.
Bro I have one doubt, if we have only two rows as an input how will spark do the execution? In other words how spark will allocate nodes and tasks for two rows ?
![Spark [Hash Partition] Explained {தமிழ்}](/img/n.gif)
Wow🤯…i have read lots of blogs regarding this, but this is best👏🏻
HI Brother, Thank you so much for your videos. It helps me to crack the interview and i got placed in IBM. To learn in Tamil is easily stored in my memory. Keep uploading images to learn more from you.
This explanation smashed it with fire. Thanks, Very helpful
one query is there any logic to decide on the number to be provided for repartitions or coalesce
Very useful ❤
Bro I have one doubt, if we have only two rows as an input how will spark do the execution? In other words how spark will allocate nodes and tasks for two rows ?
Your playlist was really good on data engineering , If you take a use case and explain the optimisation technique in spark. It will be really helpful.
hi bro
non tech background irukaravanga epdi it la career switch panrathunu oru video podunga.
thanks for the tamil videos
Bro data flair la iruka free big data courses pathina unga opinion
especially for the finance background peoples