Thanks, Rajshekhar, for explaining the concept in such a simplistic way, I have a couple of paid subscriptions, and NONE of them have presented the Concept as you did … Thanks again and Finally your speed and delivery of speech are excellent, So I am not sure why other folks are complaining, Your videos series is just like a Goldmine {NOTHING LESS!!!!!}
Thanks Raja, if someone study through your channel they cannot fail in interview, your information is very knowledgeable. Highly appreciate your efforts.
Thank you Raja sir and the one who requested this session. Raja sir, day by day..you are make me more confident in Databricks and making it interesting. --Vydu
@Raja'sDataEngineering speed of talking is way toooo fast , can you please make the recording with normal speed. I tried reducing the speed to 0.75x but it sounds like a drunken voice.
No it is immutable. Better check the documentation. www.databricks.com/blog/2016/07/14/a-tale-of-three-apache-spark-apis-rdds-dataframes-and-datasets.html www.linkedin.com/pulse/common-confusion-spark-dataframes-mutable-lets-clear-up-gaurav-joshi-vq01c/
Thanks, Rajshekhar, for explaining the concept in such a simplistic way, I have a couple of paid subscriptions, and NONE of them have presented the Concept as you did … Thanks again and Finally your speed and delivery of speech are excellent, So I am not sure why other folks are complaining, Your videos series is just like a Goldmine {NOTHING LESS!!!!!}
Thank you,Jose!
Your comments are valuable and motivating me to give even better contents
True... your pacing is the best!!!
Thank you!
It is amazing to see how much of effort you put in explaining each concept....God bless you my friend!!
Thank you very much!
@@rajasdataengineering7585 hello sir, are taking any online classes. ?? if yes please share your details
Thanks Raja, if someone study through your channel they cannot fail in interview, your information is very knowledgeable. Highly appreciate your efforts.
It's my pleasure! Thanks for your valuable comments!
you are a GOAT in explaining the things in a simplest manner. Thank you for your efforts, really enjoying your playlist.
Glad you like them! Thanks
@@rajasdataengineering7585 can you pls create ADF playlist as well.
Outstanding and never saw such detailed explanation. Thankyou very much sir..
Thanks and welcome Karthik!
Very valuable content. Thank you!
Glad it was helpful!
Thank you Raja sir and the one who requested this session. Raja sir, day by day..you are make me more confident in Databricks and making it interesting. --Vydu
You are most welcome! Glad to know you are learning this hot technology day by day. Keep it up!
Very Nice, please add practicle implementation like did in some previous video. Thank you for this best knowedge.
Sure I will. Thanks for your suggestion!
Good information
very good explanation
Glad you think so! Keep watching
Appreciating your knowledge and sharing much info
Thanks! Hope it is helpful
Excellent ...!
Your videos are very informative
Thanks Mitali
Excellent...N
Thanks
perfect content sir
Thanks
Thank you sir..
Most welcome
Could you also summarize where does DAG comes in picture after catalyst optimiser ?
Hi SIr,
Does catalyst optimizer gets implemented internally by itself or do we have to perform any manual action to initiate them?
Hi Kamini, it is one of the internal feature. We don't need to do anything explicitly
Hi raza, i have a small doubt, DAG will be created after generating of Java Byte Code or before it ?
Thanks Raja
Welcome! Hope you find it useful
Really helpful
Thank you
@Raja'sDataEngineering speed of talking is way toooo fast , can you please make the recording with normal speed. I tried reducing the speed to 0.75x but it sounds like a drunken voice.
Sure will do
DataFrame is not like rdd, it is mutable
No it is immutable. Better check the documentation.
www.databricks.com/blog/2016/07/14/a-tale-of-three-apache-spark-apis-rdds-dataframes-and-datasets.html
www.linkedin.com/pulse/common-confusion-spark-dataframes-mutable-lets-clear-up-gaurav-joshi-vq01c/