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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).
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.
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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
"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."
"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."
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
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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."""
"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."
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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.
@@SimplilearnOfficial I chose A, B and C. If data is replicated on several machines, it should make it faster to process, right? CPU's can grab data from which ever storage that is faster, and that makes processing parallel and faster. Maybe I expected too 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."
"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."
@@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.
@@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 )
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'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."
"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."
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."
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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.
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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."""
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!
"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?
"""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."""
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"""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."""
"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."
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.
"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."
"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."
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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.
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.
"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.
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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!
"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."
"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 is absolute perfection. I recently read a similar book, and it was absolute perfection. "Mastering AWS: A Software Engineers Guide" by Nathan Vale
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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."
"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."
"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."
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."
"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."
"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."
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Storage unit - Distributed System and maintains backup Mapreduce - Splits and process the data YARN - Yet another resources negotiator - Resource manager, node manager, application master
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THE ANSWER IS C. HDFS IS FAULT-TOLERANCE, IF THE DATANODES CRASHES BECUASE ITS REPLICATICATED IN 3 REPLICATION SCHEMA IN HDFS. No data will be loss, great video.
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.
"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."
C)Ensure fault tolerance. As replication is used if any of nodes crashes then the data of that node is stored on various other system so no data is 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."""
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"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."
"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 Option (C)-Ensures Fault Tolerance. It replicates data on 3 different nodes ,if any node crashes data can be retrieved from another node. I have one question- Since it replicates same data over 3 different nodes ,we required more storage space which comes with additional cost. Is there is any specific method which can be used to reduce this cost ?
"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."
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'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."
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.
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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
ruclips.net/video/BvWrjJbutCM/видео.html
ruclips.net/video/oxQ7CGN8egI/видео.html
RUclips research ????
from which country are you from?
Thanks for the explanation understood about Hadoop. Answer is: Ensures fault tolerance. 5:31
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
ruclips.net/video/oxQ7CGN8egI/видео.html
RUclips research ????
IKR
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.
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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
thank you for not having ads in the beginning of this video, is all I have to say.
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Agree kayt..
@simpli please stop posting template 🤪
Ohh yess!!
Thank you
@@SimplilearnOfficial vvvvv
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."
ruclips.net/video/BvWrjJbutCM/видео.html
What if all the 3 replicas are crashed?
@@zeamanueladmasu3275 it says "fault tolerance" and not "fault immunity".
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?
ruclips.net/video/BvWrjJbutCM/видео.html
yes
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
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Thank you SimpliLearn,
1. Straight to the point, 2. Visuals and precise explanation.
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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
36 hrs left for final exam, im watching this 😢
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."""
ruclips.net/video/BvWrjJbutCM/видео.html
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."
ruclips.net/video/BvWrjJbutCM/видео.html
The answer is C. Thanks for best teaching!
We're glad you liked the video and found it helpful!
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."
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❤
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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.
@@SimplilearnOfficial I chose A, B and C. If data is replicated on several machines, it should make it faster to process, right? CPU's can grab data from which ever storage that is faster, and that makes processing parallel and faster. Maybe I expected too much 😂
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."
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 )
This single 6min video explained more better than large videos & few course
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Amazing how easy and fast you guys could put together all the concepts and information about Hadoop. Congrats !!
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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
Two weeks of study at my university explained in 6 minutes. Thank you.
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all those multiple slides showed in our lectures yet your 6 mins video made me understand and write multiple concepts of hadoop architecture 🙏
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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."
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."
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."
This dude just explained what my teacher explained in 4 hours in 6 mins very nice video !
Glad it helped!
This was amazing. It's just about the best high level description of HADOOP I've ever seen.
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Seriously, this is a wonderfully summarised version of any Hadoop video. Well done summary. The answer is C
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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.
Mind blown explanation, even a kid can understand these concepts by watching this video
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The Most Precise and Easy to understand video Ever!!!!!
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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
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Just saved me a lot of stress going through all the slides from the academy. Amazing! tnxx
You're welcome 😊
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.
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!
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
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."""
Thank you so much we want this kind of teachers
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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 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."
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.
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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
3x replication helps with fault tolerance.. may be 3 years late for a gift voucher..😇 but wanted a refresher and this video was great on hadoop
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."
College lecture slides are far >>>>>>> better tahn ur video lecture thanks a lot it helped in my todays exam
All the best
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."
WOW!!! thank you sooo muchhhh!!! this was so good and precise. I honestly did not understand anything from uni until I watched this.
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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.
You are a god for beginners. Now I am subscribing your channel
Thanks and welcome
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.
You deserve a thumbs up.
Hello thank you for watching our video.We are glad that we could help you in your learning !
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.
Got My All Doubts Cleared. Thanks for uploading the video :)
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Good explanation. Seems like a lot of work to create useless word-frequency maps of nonsense emails though.
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C
Excellent explanation in 6 mins. Thank you!
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This is such a useful video, thank you!!
Glad it was helpful!
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."
How can i like it two times?
Well, don't do it two times. Make it three!
@@SimplilearnOfficial Smooth...
@@SimplilearnOfficial haha nice one
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."
ruclips.net/video/BvWrjJbutCM/видео.html
Yeah ok, so it's RAID but with a different name and a bit more options.
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Umm no! RAID is pretty simple in front of Hadoop.
This is absolute perfection. I recently read a similar book, and it was absolute perfection. "Mastering AWS: A Software Engineers Guide" by Nathan Vale
Thank you, that's the best explanation I've ever heard.
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Brilliantly Explained
Hello thank you for watching our video .We are glad that we could help you in your learning !
Great video
Answer is
Option 3: To ensure faltu tolerant
c) Ensures Fault Tolerance
Thank you so much for the video - Love it!
Great to hear that Simplilearn is helping you learn better .
This video clarifies the Hadoop concept very well.
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Clearest explanation of Hadoop that I have come across.
Great to hear that Simplilearn is helping you learn better .
hadoop is an amazing way to manage and process big data.
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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."
ruclips.net/video/BvWrjJbutCM/видео.html
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."
That was the easiest way to learn and understand Hadoop thank you!
Glad it was helpful!
Thanks for giving lot of information in 6:20 min. Videos, Great job 💯
Glad it was helpful!
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."
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."
The answer is C. Great video! 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."
This is too amazing. Very helpful. Explained better than anyone. l love it.
Glad it was helpful!
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."
ruclips.net/video/BvWrjJbutCM/видео.html
A clear cut video to understand Hadoop components. Thanks a lot.
Glad it was helpful!
I never knew Hadoop is a storage unit. Thanking you Genius
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Thanks a lot , u are better than my professor
thumps up is just a small appriciation need deserve more than that brilliant explanation
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Storage unit - Distributed System and maintains backup
Mapreduce - Splits and process the data
YARN - Yet another resources negotiator
- Resource manager, node manager, application master
Best best best 😭❤
Thank you so much for this ❤❤❤
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Easy to learn Your teching skills .... Thanks for your Video.
Thanks for watching!
THE ANSWER IS C. HDFS IS FAULT-TOLERANCE, IF THE DATANODES CRASHES BECUASE ITS REPLICATICATED IN 3 REPLICATION SCHEMA IN HDFS. No data will be loss, great video.
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 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."
C)Ensure fault tolerance.
As replication is used if any of nodes crashes then the data of that node is stored on various other system so no data is 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."""
Sir, Thanks a lot for This Amazing Lecture 🙂
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You Guys doing a great Job....excellent explanation.....
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The answer is option C and very good explanation sir thank you
"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."
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."
Answer is Option (C)-Ensures Fault Tolerance.
It replicates data on 3 different nodes ,if any node crashes data can be retrieved from another node. I have one question- Since it replicates same data over 3 different nodes ,we required more storage space which comes with additional cost. Is there is any specific method which can be used to reduce this cost ?
"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."
Best Scientific content creator award goes to simplilearn.
It is one of the most valuable explanation. Just Amazing.
Glad it was helpful!
Answer: C) Ensures fault tolerance
Great and really informative video!!!
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 and really an easy-to-understand video. Thank you.
Awesome videoooo...!
Ans: C. 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."
Answer: c) fault tolerance
Great video👍🏿👍🏿👍🏿
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.