Hadoop In 5 Minutes | What Is Hadoop? | Introduction To Hadoop | Hadoop Explained |Simplilearn
Vložit
- čas přidán 20. 01. 2021
- 🔥Post Graduate Program In Data Engineering: www.simplilearn.com/pgp-data-...
🔥Big Data Engineer Masters Program (Discount Code - YTBE15): www.simplilearn.com/big-data-...
Hadoop is a famous Big Data framework; this video on Hadoop will acquaint you with the term Big Data and help you understand the importance of Hadoop. Here, you will also learn about the three main components of Hadoop, namely, HDFS, MapReduce, and YARN. In the end, we will have a quiz on Hadoop. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let's get started and learn all about Hadoop.
Don't forget to take the quiz at 05:11!
To learn more about Hadoop, subscribe to our CZcams channel: czcams.com/users/Simplile...
Watch more videos on HadoopTraining: • What is Big Data | Wha...
#WhatIsHadoop #Hadoop #HadoopExplained #IntroductionToHadoop #HadoopTutorial #Simplilearn Big Data #SimplilearnHadoop #simplilearn
➡️ Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, masterclasses, IBM hackathons, and Ask Me Anything sessions.
✅ Key Features
- Professional Certificate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
- 8X higher live interaction in live Data Engineering online classes by industry experts
- Capstone from 3 domains and 14+ Projects with Industry datasets from CZcams, Glassdoor, Facebook etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Skills Covered
- Real Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls
👉Learn More at: www.simplilearn.com/pgp-data-...
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
🔥Post Graduate Program In Data Engineering: www.simplilearn.com/pgp-data-engineering-certification-training-course?BigData-aReuLtY0YMI-aReuLtY0YMI&Comments&
🔥Big Data Engineer Masters Program (Discount Code - YTBE15): www.simplilearn.com/big-data-engineer-masters-program?BigData-aReuLtY0YMI-aReuLtY0YMI&Comments&
Option C) Ensures fault tolerance
Option C
For me, a), b), c) and d) are all advantages of the HDFS schema.
C
Option (c ). Explanation : the advantage of the 3x replication schema in HDFS is to ensure fault tolerance(because the data will be stored in multiple systems and the data will not be lost even if one of the data node is crashed or lost in a system as it has multiple copies).
100 slides given by my university explained in 6 minutes! Amazing, and thank you so much!
You're very welcome!
Your University teaching this. Damnnnnnn
czcams.com/video/BvWrjJbutCM/video.html
czcams.com/video/oxQ7CGN8egI/video.html
CZcams research ????
from which country are you from?
Well, I'm blown away. That was one of the most productive six minutes I spent on YoutTube
Glad you enjoyed it!
@@SimplilearnOfficial Hi Can you please tell me what software is the video made in.
Thanks.
Very simply explained
czcams.com/video/oxQ7CGN8egI/video.html
CZcams research ????
IKR
thank you for not having ads in the beginning of this video, is all I have to say.
Hello, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Agree kayt..
@simpli please stop posting template 🤪
Ohh yess!!
Thank you
@@SimplilearnOfficial vvvvv
Wow this is how things should be explained. Simultaneously with strong examples. Thank you for uploading this.
Glad you enjoyed it!
Yay, an explanation that can be understood in plain english with simple examples.
It took my lecturer about 30 minutes to slog through half of this content and it barely made sense to me. This was great.
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!
A good teacher will explain and demo a topic in a few different ways so all with reasonable levels of education can understand the subject. HADOOP is a lot more than 6mins
Amazing how easy and fast you guys could put together all the concepts and information about Hadoop. Congrats !!
Glad you liked it!
Nice video ! The answer to the question : The advantage of the 3x replication in HDFS is mainly that it ensures fault tolerance.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
@@SimplilearnOfficial iusiuhub
@@SimplilearnOfficial - What happens if the multiple nodes are crashed? Would the data be lost?
czcams.com/video/BvWrjJbutCM/video.html
yes
best video I have seen ! The answer to the question : The advantage of the 3x replication in HDFS is mainly that it ensures fault tolerance.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
czcams.com/video/BvWrjJbutCM/video.html
What if all the 3 replicas are crashed?
@@zeamanueladmasu3275 it says "fault tolerance" and not "fault immunity".
Thank you SimpliLearn,
1. Straight to the point, 2. Visuals and precise explanation.
Hey, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
5 mins left for my exam, im watching this
and commenting on it :)
12 hrs left for exam rewatching this video
Your at right place
By the way kesa gya paper
This was amazing. It's just about the best high level description of HADOOP I've ever seen.
Thank you for the appreciation. You can check our videos related to various technologies and subscribe to our channel to stay updated with all the trending technologies.
Thanks for the explanation understood about Hadoop. Answer is: Ensures fault tolerance. 5:31
Amazing
I missed this important lectures in my University
I thought won't able to learn
But you did so well. Even my professor can't explain this way.
Thank you so much
We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Wow! No body will explain Hadoop so effectively and easily like you. Hats off to you time and effort. Cheers! btw answer would be D: fault tolerance
Hi Ruwinda, glad you enjoyed the learning experience with us.
Considering subscribing to us and tapping the bell icon to keep up to date with our future uploads. Cheers!
There was a lot of information in this video and it was very well presented. 3x replication schema ensures fault tolerance
I have been working on the Mapr environment but I didn’t got clarity on clusters until I watched this video.. Thanks Keep doing the tutorials on this Hadoop!
Glad it helped!
The advantage of the 3x replication schema in HDFS is Option C: to Ensure fault tolerance.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
@@SimplilearnOfficial What if you lost 3 nodes at the same time? ie: power lost in one rack(I know it's a bad layout)?
@@jwuhome Then you're screwed and your replication didn't help and that data is inaccessible or lost. But the whole idea is that any one machine has a very low chance of failure, individually. But with thousands of machines, the event of *any* machine failing becomes more frequent and expected. But the chance of the 3 specific machines that house all the replicas for some block of data *simultaneously* failing is basically miniscule. The only way to lose data is for each node to fail within the time it takes to re-replicate the data (after losing one node, it will replicate the block again somewhere else to maintain 3 replicas). Replication is pretty quick. Let's say it takes 1 minute to replicate a node (probably much quicker than that), and any node has a 0.01% chance to fail over the course of any given minute (totally arbitrary, I'm not sure at all, but it's probably significantly less than that). Then within that 1 minute it would require the other 2 replicas to fail. So if you already assume that the first node failed, there would only, in this example, 0.0001% chance of actual data loss. That's one in a million failures causing data loss. You might already understand this, in which case the problem is evident in your question: replicas should be spread out such that their failures are independent events, rather than together on a rack where they could all fail and cause data loss.
Did he won the prize?? LOL
@@GlobusTheGreat aren't these server running on commodity hardware ? If so won't the chance of them failing is inevitable. I read the google's paper on GFS where they said hardware failure is assumed to happen. And HDFS is based on GFS( PS: I am new to big data )
Awesome explanation. I loved that , clearly explained all the parts.
Glad it was helpful! Thank you for watching!
The answer to the question is : Ensure fault tolerance. Thank you for the video it was very informative
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
The advantage of the 3x replication schema in HDFS is Option C: to Ensure fault tolerance.
Your Explanation was Awesome. and i have a question
How we create data product using Hadoop??
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Awesome video. It would be great to see the technical example shown in this video.
Btw, the answer is to ensure fault tolerance.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Just saved me a lot of stress going through all the slides from the academy. Amazing! tnxx
You're welcome 😊
This is such a useful video, thank you!!
Glad it was helpful!
The answer is C, ensures fault tolerance! I love your videos, really helps me with my Data Science class right now.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
czcams.com/video/BvWrjJbutCM/video.html
Option (C)-Ensures Fault Tolerance.
And really thankss for the full explanation on HADOOP👍.This type explanation was what i was looking for from long back..It was very perfect,clear & simpler to understand.😊👌
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
thanks a lot for the explanation, through this video i just understand what the big data is and hadoop is! It's so amazing.
Glad it was helpful!
er
czcams.com/video/BvWrjJbutCM/video.html
wow, this is first time learning about Big Data and how Hadoop works. thank you so much for the explanation. quite excited to give it a try.
the answer is C: Ensure Fault tolerance. like High Availability in Cloud services terms.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
czcams.com/video/BvWrjJbutCM/video.html
C) Ensures fault tolerance
Thanks for such information
Appreciable 👌
You've got the correct answer, option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
wonderful video for beginners like me. Thanks a ton...I think the answer of the question is option c: ensure fault tolerance
You've got the correct answer, option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
You describe 2/3 hr of a lecture with in a 5 min. Same like your name SimpleLearn Your Teaching style is superb. Thanks brother❤
We're so glad that you enjoyed your time learning with us! If you're interested in continuing your education and developing new skills, take a look at our course offerings in the description box. We're confident that you'll find something that piques your interest!
Option C - Ensures Fault Tolerance
This is very sweet to get the intro of the Hadoop in 5 mints.
Thanks for help.👍
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Two weeks of study at my university explained in 6 minutes. Thank you.
Hello thank you for watching our video .We are glad that we could help you in your learning !
It is one of the most valuable explanation. Just Amazing.
Glad it was helpful!
Mind blown explanation, even a kid can understand these concepts by watching this video
We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Answer: C) Ensures fault tolerance
Great explanation!!.
You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
Answer is at least a, b, c and could include d, depending on how you define manage. Yes 3x replication ensures fault tolerance but it also allows parallel execution of jobs to be placed on the same node where a block of data resides. The locality benefit can provide faster data analysis and efficient cluster management depending on the workloads.
"""You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."""
The one true answer.
Short but very meaningful knowledge video. I am joining a class conducted by organization, before that I was looking for something really meaningful and Lord has brought me here. Thanks
You are most welcome
This is absolute perfection. I recently read a similar book, and it was absolute perfection. "Mastering AWS: A Software Engineers Guide" by Nathan Vale
I believe the answer is C. The 3x replication schema is used to counter when one of the physical storage is in fault/problem. It is act as backup
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
@@SimplilearnOfficial just wondering HDFS is based on the GFS , when 1 of the chunk server crashes , then the master makes replication on the other chunk server . What if all the server associated with a particular chunk crashes, does that mean that chunk won't be available?
@@pawansapkota3970 yes
C:- Ensure fault tolerance
"""You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."""
@@SimplilearnOfficial 😊😊
The Most Precise and Easy to understand video Ever!!!!!
Hi, we are happy that you found the video informative.
Consider subscribing to our channel to keep up to date with our videos on the latest tech trends.
A clear cut video to understand Hadoop components. Thanks a lot.
Glad it was helpful!
Big Data is not unstructured data as you might have suggested in the beginning. Big Data is around big data sets that are otherwise too large to deal with. Big Data might be generated by a particle accelerator, for example, it will be structured data but will be considered as 'Big Data'. By the way, this term is not commonly used by Data professionals. It's mostly used by managers and marketing people.
Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!
I thought it had to do with Volume, Velocity, and Veracity
im python programmer
python are obssesed with pip install
Big data could be structured or unstructured
Thanks for making this really easy to understand. Keep making such videos !!!
Answer: (c) Ensures fault tolerance.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
WOW!!! thank you sooo muchhhh!!! this was so good and precise. I honestly did not understand anything from uni until I watched this.
Hi Rahasaan, glad you chose us on your learning journey.
Why not subscribe to explore the rest of our video catalogue and future uploads about big data tools and career prospects. Cheers!
Thanks for the explanation! That's what I was looking for! :) Of course, the answer is C - ensure fault tolerance.
You've got the correct answer, option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
hi, does 3x replication also mean 3x space in use? let say we store 10Mb video, does it take 30Mb space?
thank you
Hi@@hoangcoitk5 !
Maybe the reason is that storage is cheap today, but losing data is not.
c)Ensures fault tolerance. :-) Great tutovid !
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
@@SimplilearnOfficial Is option (b) also correct?, because replication will also ensure faster access to data since the data can be captured through the closest possible node.
@@dkg4975 I think that will hold only true if your nodes are distributed over several different LAN networks. as long as they are in the same LAN network, the access speed shouldn't change that much. feel free to correct me if I am wrong.
This dude just explained what my teacher explained in 4 hours in 6 mins very nice video !
Glad it helped!
Explanation in is very good in less time.i'm also work on hadoop but that kind of knowledge gain today .
Summary:
Hadoop contain 3 measure part:
1) hdfs:hadoop distributed file system
2) MapReduce: basically it is memory management
3)YARN : it provide management of all kind.
Thank team
"""You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."""
czcams.com/video/BvWrjJbutCM/video.html
Good explanation. Seems like a lot of work to create useless word-frequency maps of nonsense emails though.
Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
C
C: to Ensure fault tolerance :)
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Thank you so much for this simple explanation
Glad it was helpful! Thank you for watching!
Thanks for the video!!!! Letter C- ensures fault tolerance...
You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
All a, b, c and d are right answers
Sorry, option C is the correct answer. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
How can i like it two times?
Well, don't do it two times. Make it three!
@@SimplilearnOfficial Smooth...
@@SimplilearnOfficial haha nice one
This is too amazing. Very helpful. Explained better than anyone. l love it.
Glad it was helpful!
Amazing video. The advantage of the 3x replication schema in HDFS is fault torance.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
czcams.com/video/BvWrjJbutCM/video.html
Yeah ok, so it's RAID but with a different name and a bit more options.
Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!
Umm no! RAID is pretty simple in front of Hadoop.
I understand now. Hadoop is bigger than dBase III+. nice and simple video. have a nice day.
Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!
This single 6min video explained more better than large videos & few course
Hello thank you for watching our video .We are glad that we could help you in your learning !
visual explanation was the best part. for a newbie like me I could grasp the concept much faster. The answer to the quiz is fault tolerance. thanks.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Hi, my answer is "ensures fault tolerance". Thank for the clear video, it will be useful for the Azure Data Fundamentals Certification.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Thanks for giving lot of information in 6:20 min. Videos, Great job 💯
Glad it was helpful!
I think I will prefer this kind of animation over the traditional slide show explanation , good work @simplilearn and will be looking forward for these kind of video's
Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
czcams.com/video/BvWrjJbutCM/video.html
Great Video, the answer to the quiz is C) Ensures fault tolerance.
You've got the correct answer, option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
Good video. Clear and concise.
Answer to quiz - C (Ensures fault tolerance)
"""You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."""
The best video to explain hadoop in 5 min.
Glad you enjoyed it! Thank you for watching!
thanks for the explanation.
the answer to the question is c - ensures fault tolerance
You've got the correct answer, option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
Amazing video. Brilliant explanation. The answer is option C , 3x replication ensures fault tolerance
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
czcams.com/video/BvWrjJbutCM/video.html
This is superb video I really understood the concept of Hadoop I appreciate the effort of simplicity.
Glad it was helpful!
Seriously, this is a wonderfully summarised version of any Hadoop video. Well done summary. The answer is C
We are glad that you have enjoyed your learning experience with us : )
My Answer to Quiz is C. select C because it can split lots of multiple blocks to compute. and they can copy all data from other blocks, so whichever one or more are broken, the data is not lost.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Got My All Doubts Cleared. Thanks for uploading the video :)
We're so glad that you enjoyed your time learning with us! If you're interested in continuing your education and developing new skills, take a look at our course offerings in the description box. We're confident that you'll find something that piques your interest!
thanks for the crystal clear explanation on what hadoop is , coming to the answer of question is c) ensure fault tolerance
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Crisp and short video....upto the point🔥
Answer is (C). Ensures fault tolerance
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Thank you so much we want this kind of teachers
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every day on all your favorite topics Have a good day!
thanks for the informative video. in a short video, it explains most of the hadoop components.
Glad it was helpful!
Excellent! Thank you so much.
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every day on all your favorite topics Have a good day!
Very well explained video 💯
Answer of Advantage of 3x replication Schema in HDFS is Option C that is ensure Fault Tolerance.
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Storage unit - Distributed System and maintains backup
Mapreduce - Splits and process the data
YARN - Yet another resources negotiator
- Resource manager, node manager, application master
That was the easiest way to learn and understand Hadoop thank you!
Glad it was helpful!
nice presentation easy to understand
Clearest explanation of Hadoop that I have come across.
Great to hear that Simplilearn is helping you learn better .
Ensures fault tolerance.
Great video, thank you so much!
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
This video clarifies the Hadoop concept very well.
Great to hear that Simplilearn is helping you learn better .
We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Thanks u so much for such a simple and amazing video to understand the concept.👏👏👏👏👏
You are most welcome
this video is super useful!!!
Glad you think so! Thank you for watching!
Answer: C! Great quick intro my first time learning, I've kept hearing about Map Reduce and this really made sense!
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
czcams.com/video/BvWrjJbutCM/video.html
Great video, is a good resume of this technology, and the answer is C) Ensure fault tolerance
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Nice explanation. Thank You
Nice presentation.. Thank you..
Thanks For making this amazing and helpful video.!🙂
Glad it was helpful!
The answer would be (C) Ensures Fault Tolerance! Thanks again. Wonderful presentation
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
The answer is c), just as mentioned earlier in the video.
Also, the video is really helpful and brief, thx!
You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance.
When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant.
Thank you, that's the best explanation I've ever heard.
We're so glad that you enjoyed your time learning with us! If you're interested in continuing your education and developing new skills, take a look at our course offerings in the description box. We're confident that you'll find something that piques your interest!
Thanks a lot. 🎉🎉
Advantage of the 3x replication schema in HDFS is "Ensure fault tolerance".
"You've got the The correct answer is option C. The advantage of the 3x replication schema in HDFS is to Ensure fault tolerance. When one block is created, it is replicated with a replication factor of 3 and it is stored on the racks of different DataNodes. By doing so, data is not lost at any cost; even if one DataNode crashes, hence HDFS is fault-tolerant."
Great explainer vid! Is Hadoop still relevant today? how does it work in the AI/ML pipeline ?
Hi,
Hadoop is and will remain revelvant in the coming years for companies. Please have a look at this report neighborwebsj.com/news/4975662/comprehensive-report-on-hadoop-big-data-analytics-solutions-market-2021-size-growth-demand-opportunities-forecast-to-2027-microsoft-us-aws-us-cloudera-us-hpe-us-ibm-us/.
Fitting machine learning algorithms into map reduce framework and coding them in Java is nearly impossinble. The Apache foundation has Mahout that has libraries to run several machine learning algorithms.
Easy to learn Your teching skills .... Thanks for your Video.
Thanks for watching!