i came across this sometime back and thought that a hindi video on the subject? eh... not worth it.. But then i listened to this and then realized that you have done a brilliant job. Turned out to be one of the best introductions to the subject. Thanks and keep it up.
Note :- Hadoop keeps intermediate data on disk, spark keeps intermediate data in memory to reduce the reads and writes from disk. In mapreduce there are too many trips to HDFS, it has to read and write data multiple times from disk. SO when I say "In hadoop data is processed on disk" , the data I am referring to is intermediate data, Will be uploading new video for this concept of In memory processing and On disk processing soon.
OMG...I was laughing literally for a few seconds then started back this video again and found it really helpful...Thanks, Sandeep for this fun learning I started this tutorial at 12:30 AM and could not step back to my previous tutorial
HDFS,Cassandra,S3 sbkaa Data process kregaa re tera Spark🤣🤣 bro thnxx yrr i really finding the Hadoop tutorial in Hindiii and atleast i found that.. in such saracstic way
Thank you so much sir . Sir aap ki padhai ki technique bahut aachi hai sir muze bahut help hu hai sir . So thank you so much sir . Sir please upload more videos
Hi I have a question related ArrayList and LinkedList suppose I have a user list and I am displaying user data with the help of ArrayList object. where we should use LinkedList
hi sandeep, had a query, since hadoop has few drawbacks n I also came across that now no on is using hadoop and which ever applications use to use hadoop will be migrated... so what technology should we be learning?? is it just mapreduce that is not been used or complete hadoop cluster?? plz reply
Your tutorials are so awesome... before I was addicted to daily soaps and now I am getting addicted to these! lol Please upload more :D Sir aap kamaal ho!
Hi Sandeep can't find your next videos on spark. It's very easy to understand as you teach... I need to learn spark asap..it's damm urgent for me. Please upload spark resulted videos asap...
RAM tho volatile h fr power loss hone pr data loss hojayega how spark will manage this? aur spark data engineering se kaisa related h please as soon as posible reply kedena
hi, sandip as you said hadoop dosnt procesed data in memory, but as i know cpu never perform operation in disk... it brings data into memory (memory buffer io.sort.mb) and after performing sort and other operation spill into disk..on the other hand spark keep temporary data into ram(cache memory) ..let me know if i understood wrong
Yes you are absolutely right, spark keeps intermediate data in memory to reduce the reads and writes from disk, whereas in mapreduce there are too many trips to HDFS, it has to read and write data multiple times from disk, plus spark utilizes LRU cache effectively, I guess i didn't conveyed information properly regarding on disk processing and in memory processing, i should've explained it in detail, Thanks for pointing out, will be updating it.
bro please add some more videos of Spark.I am eagerly waiting for your new videos.Your style of explaining the concepts are amazing. Please add few more videos.
Hi Sandeep they way you explained is mind-blowing and extraordinary that is very easy to understand and to develop the basic concepts .I would request if you can please explain the partitioning concept in SPARK.
Hello Sandeep, do you have any tutorials or content covering Spark RDD using Java 8? If yes, please let me know. I have also mailed you the same query. Thanks :)
I am new subscriber.. You are just awesome.. It will be helpful alot if u make more about loading csv files in the pyspark and also please explain spark machine learning algorithms...
![[Hindi] Spark RDD, DAG, Spark Architecture | Part - I](http://i.ytimg.com/vi/2A_faYLOvWo/mqdefault.jpg)
![[Hindi] Spark RDD, DAG, Spark Architecture | Part - I](/img/tr.png)
Updated video on spark Introduction is available,
ruclips.net/video/9mUeW-VG73c/видео.html
i came across this sometime back and thought that a hindi video on the subject? eh... not worth it.. But then i listened to this and then realized that you have done a brilliant job. Turned out to be one of the best introductions to the subject. Thanks and keep it up.
Note :- Hadoop keeps intermediate data on disk, spark keeps intermediate data in memory to reduce the reads and writes from disk. In mapreduce there are too many trips to HDFS, it has to read and write data multiple times from disk.
SO when I say "In hadoop data is processed on disk" , the data I am referring to is intermediate data, Will be uploading new video for this concept of In memory processing and On disk processing soon.
Technological Geeks Hindi ....
Bhava cha vijay asooo...
Mast re ....
Shalecha naav motha kela tu
Thank you bhava ..
ppt pn share kelya astya
For Online classes Visit our website
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Course Details : ruclips.net/video/KBK85ETH5nI/видео.html
Sir can you please add the ppt of apache spark tutorial in the description
Advertise are frustrating but your content and way of explaining is amazing so I'll see non skipable Ads too 😂😂
OMG...I was laughing literally for a few seconds then started back this video again and found it really helpful...Thanks, Sandeep for this fun learning I started this tutorial at 12:30 AM and could not step back to my previous tutorial
Every student is in need of these type of videos in big data tools.... Thank u so much... Stay blessed
I regret that I have missed your videos till now bhai, Amazingggggggggggggggggg
I became your fan the way you are explaining is really really noob friendly yet very informative.
aap bahut khusmijaj insan ho, wakayi me bahut behtarin trike se yha bataya aapne . shukriya sir
bhai.. hame itane acche teacher mil jate toh abhi ham google me hote 😉...nice explaination man
HDFS,Cassandra,S3 sbkaa Data process kregaa re tera Spark🤣🤣
bro thnxx yrr i really finding the Hadoop tutorial in Hindiii and atleast i found that.. in such saracstic way
Bhai kay zabardasst video bante ho aap. Aise toh US ke top universities me bhi nhi padaya jata. Keep it up.
Great way to teach 👏 Everything in Deep mind in just one video 🤗🙏
Sandeep sir , aap kitne simple words me itna ache se samjha dete ho 😍, thank you so much for making such an awesome playlists ❤️
This is one the simple and best explanation of Spark. Subscribed immediately to follow your other videos on Spark....You are the best
Ha Ha.. Sandeep you are hilarious, and explain in a very engaging and friendly manner...Thanks.
शाब्बास भावा चांगलं काम करतोय ...👍
Do you take spark online classes can you share details for online classes ......you are amazing teacher superb.....May god bless u
Ur way of explanation is too Gud.. 👌👌😊
Thank you so much sir . Sir aap ki padhai ki technique bahut aachi hai sir muze bahut help hu hai sir . So thank you so much sir . Sir please upload more videos
Hi
I have a question related ArrayList and LinkedList
suppose I have a user list and I am displaying user data with the help of ArrayList object.
where we should use LinkedList
bro awsm really..kamal hai tu bhai..i m a student in nci coll dublin1...has helped a lot..a last minute learning
hi sandeep, had a query, since hadoop has few drawbacks n I also came across that now no on is using hadoop and which ever applications use to use hadoop will be migrated... so what technology should we be learning?? is it just mapreduce that is not been used or complete hadoop cluster?? plz reply
Simple and Precise, Adorable efforts Sandeep
Bhai Sandeep .... Accumlator ... Broadcast variables ka vedio kab tak aayega ... ???????
You are blessed to have this talent
Your tutorials are so awesome... before I was addicted to daily soaps and now I am getting addicted to these! lol Please upload more :D Sir aap kamaal ho!
TRUE
Kaafi badhiya banaya! Thanks
Love the way u cleared each and every topics 😀thanks a lot guruji
very good explanation
Bro , are you a marathi??
Really valuable information with fun..Nice
yaar bhai bahut sahi samjhate ho...I really like your vedio..but aage ke vedio nahi hai..why ?
your video's are very awesome.
Wonderful videos. All the best
Thank you dada..
Cha gye tussi, your way of teaching earned my subscription. Great
Nice introuduction of spark. Thank you
That's called a quality content 👌
Can you please provide the slides from which you're teaching? It'd be of great help!
Very Impressive Sandeep. Thank you for your videos and I saw your folder "JIMMY KE JALWE" at 6:54.
+Shikhar Upadhyay Really, individuals who watch those videos deserve bravery award 😂 , btw thanks for appreciating my work 😊
Bhai tere videos kafi informative aur creative hai.
Keep it up dude🤙
Great Explanation in funny way
ek number lecture
Mast ch bhawa 💯👌🏻👌🏻👌🏻👌🏻
Hi Sandeep can't find your next videos on spark. It's very easy to understand as you teach... I need to learn spark asap..it's damm urgent for me. Please upload spark resulted videos asap...
RAM tho volatile h fr power loss hone pr data loss hojayega how spark will manage this?
aur spark data engineering se kaisa related h please as soon as posible reply kedena
As spark doesn't store data..
Whenever power loss or any issue occurss..
execution plan can be re executed..
hi, sandip as you said hadoop dosnt procesed data in memory, but as i know cpu never perform operation in disk... it brings data into memory (memory buffer io.sort.mb) and after performing sort and other operation spill into disk..on the other hand spark keep temporary data into ram(cache memory) ..let me know if i understood wrong
Yes you are absolutely right, spark keeps intermediate data in memory to reduce the reads and writes from disk, whereas in mapreduce there are too many trips to HDFS, it has to read and write data multiple times from disk, plus spark utilizes LRU cache effectively, I guess i didn't conveyed information properly regarding on disk processing and in memory processing, i should've explained it in detail, Thanks for pointing out, will be updating it.
Nice explanation buddy...your way of explaining stuff is awesome...
at 7.45 minute, it should be var or val?
bro please add some more videos of Spark.I am eagerly waiting for your new videos.Your style of explaining the concepts are amazing. Please add few more videos.
Best ever videos I saw
Could you please share the link of Kafka video tutorial
Awesome bro.... Explanation method is very good, very helpful
Hello sandeep ... Ur explanation is really good please share video on scala
haha I like your style best teacher ever
Hi Sandeep they way you explained is mind-blowing and extraordinary that is very easy to understand and to develop the basic concepts .I would request if you can please explain the partitioning concept in SPARK.
To support sandeep, DO NOT SKIP THE ADS.
Thanks for explaining in easiest way can u explain how can we create df on top of hive table to use further in spark processing
Plz tell me
Is there any programing in spark
Funny and fantastic way .. 🙏😎👍
Loved the video . Very informative and quirky at the same time
Thanks alot sandeep. I learnt many things in clear from your videos. Ua doing great please do videos on pyspark
Your videos are really awesome... It would be wonderful if u can improve the audio a bit
Really it is very helpful 😌😌
Mazhya aa gya
Simple but informative explanation in very cool way. Keep it bro
Thankyou so much Bhai.. Teri wajah se pass hounga
Awesome video
*U need to upload daily* to cover all contents & it will increase subscribers
u know nothing :P
:D
Ekdam Dev manus....hahaha...love u bro
bhaiyya databricks ke playlist banao na....plz
Hii please make one video for end to end explanation of hadoop full project.
Hello Sandeep, do you have any tutorials or content covering Spark RDD using Java 8? If yes, please let me know. I have also mailed you the same query. Thanks :)
Dear! please assigned number to video... bcz i saw 3 video then 1 and then 2nd
if you numbering the video it will be better
thanks
Awesome 👍
hello sir nice explanation.. how can i contact you i need your help in deep concept of spark that i am using in my project..
Too Good ....mastaaa🙌🙌🙌
can u upload a video on sqoop and done practical on that.....pleaseeee...
Bhai. Dil jeetliya
Sandip Sir!! Aap bhi Ek Dev Manus ho :)
Thanks for making this video!! Hoping for more videos on Spark :)
Bro its good but can you please make the video on cloudera manager or Hadoop Security
Sandeep cover complete topic for Spark,As have to work in spark from next week
So muhje spark ki knowledge ho jayegi 😊
You shows picture of expert like Mr Tony stark 😂👌
Lai Bhaari Bhawa...
Good Explanation but so many adds. I was feeling like I should close the video.
you have given example of RDD but you have defined RDD as Var datatype but RDD is immutable , So it should be Val datatype.
Great video! Informative and entertaining!
I am new subscriber.. You are just awesome.. It will be helpful alot if u make more about loading csv files in the pyspark and also please explain spark machine learning algorithms...
Great video!
Can u please suggest me coaching for data science in pune.
Amazing explaination technique Bro 😀
Please make some more videos on spark in detail as spark SQL spark streaming graphx and ml
Plzz make vedios on Apache airflow
Can you please provide those slides in description ????
Excellent 👍
Please upload spark clustering step by step ...practical bhava please
Superb comic timing
awesome outstanding mindblowing
Just Awesome !
well done Thanks for knowledge sharing
very informative Sandip!!!
Waiting for next vedio
Very nice