"🔥Professional Certificate Program in Data Engineering - www.simplilearn.com/pgp-data-engineering-certification-training-course?QaoJNXW6SQo&Comments&TH-cam 🔥IITK - Professional Certificate Course in Data Science (India Only) - www.simplilearn.com/iitk-professional-certificate-course-data-science?QaoJNXW6SQo&Comments&TH-cam 🔥Caltech Post Graduate Program in Data Science - www.simplilearn.com/post-graduate-program-data-science?QaoJNXW6SQo&Comments&TH-cam"
Well explained! I have a question here, if we have almost 60M data then creating RDD while processing the data will helps in handling such huge data or some other processing steps required?
This video is useful if you don't know what Spark is, but already know what Mahout, Rabbit, ODBC, JDBC, Hadoop, MapReduce, OLTP, Giraph, column-centric databases, R, Scala, Java, and ... are.
Well I didn't know Hadoop, Rabbit, MapReduce, OLTP, Giraph and still learned a lot. If you don't know the other ones it's not this videos fault but yours, as you can't expect a short video to teach you all of these concepts...
Hey Prem, we're re-working on this component now and will have more comprehensive videos very soon. While you wait, why don't you check out this playlist? th-cam.com/play/PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ.html And don't forget to like, share and subscribe to our channel! :)
Machine teaching us machine learning and associated high level topics. Anyway, it is pretty good overall. An off topic: why this is in machine's voice? I like human's voice rather than machine's voice.
Hey Harendra, thank you for watching our video and for the honest feedback. We will definitely look into this. Do subscribe, like and share to stay connected with us. Cheers :)
Hi Neila, thank you for watching our video and appreciating our content. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
It's a well done video but I barely understood anything. It's because I'm just starting to learn about AI and ML. It's overwhelming to see how much I have to learn. Still, I enjoyed watching the video. I'll come back to it in a few weeks and watch it again. I'll be able to understand more then. 😊
Hi Bianca, thanks for checking out our tutorial and for sharing the information. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
Hi Bogdan, you can check our old playlist on Spark to know th basics: th-cam.com/video/-CyZm9yIQaI/w-d-xo.html. We will be coming up new tutorial on Spark soon. So, stay tuned!
HI all i had a doubt i had a 1 PB data to be processed in Spark. If i am trying to read whether 1PB of data will be stored in memory are not how it will process could anyone please help me,
Hi Sagar, thanks for checking out our tutorial and for sharing the information. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
"🔥Professional Certificate Program in Data Engineering - www.simplilearn.com/pgp-data-engineering-certification-training-course?QaoJNXW6SQo&Comments&TH-cam
🔥IITK - Professional Certificate Course in Data Science (India Only) - www.simplilearn.com/iitk-professional-certificate-course-data-science?QaoJNXW6SQo&Comments&TH-cam
🔥Caltech Post Graduate Program in Data Science - www.simplilearn.com/post-graduate-program-data-science?QaoJNXW6SQo&Comments&TH-cam"
the marketing tone is strong in this "tutorial"
Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )
A reasonable overview. But there's nothing "tutorial" about this.
Hi, thanks for watching our video. You can check out this video for the tutorial: th-cam.com/video/pbvoxfi5FGc/w-d-xo.html. Hope this helps!
Perfect illustration of the idea and deep understanding of core differences
Hi Wael, we appreciate the kind comment! enjoy!
Well explained! I have a question here, if we have almost 60M data then creating RDD while processing the data will helps in handling such huge data or some other processing steps required?
Thanks for the video.
You are welcome!
Thank you for this nice introduction
You're welcome
This video is useful if you don't know what Spark is, but already know what Mahout, Rabbit, ODBC, JDBC, Hadoop, MapReduce, OLTP, Giraph, column-centric databases, R, Scala, Java, and ... are.
Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )
Well I didn't know Hadoop, Rabbit, MapReduce, OLTP, Giraph and still learned a lot.
If you don't know the other ones it's not this videos fault but yours, as you can't expect a short video to teach you all of these concepts...
I dont see how this is a tutorial
Hey Prem, we're re-working on this component now and will have more comprehensive videos very soon. While you wait, why don't you check out this playlist? th-cam.com/play/PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ.html
And don't forget to like, share and subscribe to our channel! :)
Thank you!
You're welcome!
Machine teaching us machine learning and associated high level topics. Anyway, it is pretty good overall.
An off topic: why this is in machine's voice? I like human's voice rather than machine's voice.
Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!
It's a nice video as intro for beginners.
Glad you think so!
That animating hand is very distracting. Otherwise, the video was very nice. +1
Hey Harendra, thank you for watching our video and for the honest feedback. We will definitely look into this. Do subscribe, like and share to stay connected with us. Cheers :)
Great one!
Hi Neila, thank you for watching our video and appreciating our content. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Is there any way you could share the slides? I would love to use some of the graphics in this video.
We don't have any pdf of this particular video. For slides, you can check out our slideshare profile: www.slideshare.net/Simplilearn"
Great session for beginners!!
Glad you think so!
Thanks it was clear !
Glad it helped!
It's a well done video but I barely understood anything. It's because I'm just starting to learn about AI and ML. It's overwhelming to see how much I have to learn.
Still, I enjoyed watching the video. I'll come back to it in a few weeks and watch it again. I'll be able to understand more then. 😊
Hi Bianca, thanks for checking out our tutorial and for sharing the information. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
i want slides of this video can you please me on this
We don't have any pdf of this particular video. For slides, you can check out our slideshare profile: www.slideshare.net/Simplilearn"
Spark OVERVIEW for beginners, FTFY.
Thanks for your feedback. We will be coming up with detailed tutorial about Spark soon. So, subscribe to our channel and stay tuned.
In-memory: The entire data is loaded into memory, can I understand it like "the entire data is loaded into RAM" ?
"Hi ,
That's right, the data is loaded to the RAM."
Any beginner started writing code in spark after watching this?
Thanks for watching our video. We hope it was helpful.
That finger animation is super distracting and irritating. Once in enough.
Thank you for letting us know know about this. Your feedback helps us get better.
Where is the tutorial?
Hi Bogdan, you can check our old playlist on Spark to know th basics: th-cam.com/video/-CyZm9yIQaI/w-d-xo.html. We will be coming up new tutorial on Spark soon. So, stay tuned!
Learned nothing. :( Some advertisement how great spark is
Hi, sorry to hear that. Could you please explain a bit more on what has gone wrong. So that we can convey it to the concerned team. Thanks!
Simplilearn I wanted to learn how to use it.
HI all i had a doubt i had a 1 PB data to be processed in Spark. If i am trying to read whether 1PB of data will be stored in memory are not how it will process could anyone please help me,
Too much therory, just looks like an overview of a book.
Hi Sagar, thanks for checking out our tutorial and for sharing the information. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
Seems out of date now (mid 2020)
Thanks for the feedback. We will look into it.