Big Data In 5 Minutes | What Is Big Data?| Big Data Analytics | Big Data Tutorial | Simplilearn
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- เผยแพร่เมื่อ 18 มิ.ย. 2024
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This video, Big Data In 5 Minutesby Simplilearn, will help you understand what is Big Data, the 5 V's of Big Data, why Hadoop came into existence, and what Hadoop is. You will also learn about the storage unit and processing unit of Hadoop and the implementation of Big Data through use cases. In the end, we will have a quiz on Hadoop. A massive amount of data that cannot be stored, processed, and analyzed using the traditional ways is known as Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let's dive deep into this video and understand Big Data and Hadoop.
Below are the topics covered in this video.
00:00 Big Data In 5 Minutes
00:34 Data generated per minute
00:56 Classification of Big Data
02:00 How to store and process Big Data
03:11 Application of Big Data
What Is Big Data?
Big data refers to the vast volume, variety, and velocity of data that exceeds traditional processing methods. It encompasses structured, unstructured, and semi-structured data from various sources, offering valuable insights for informed decision-making. Big data requires advanced analytics and scalable infrastructure to extract patterns, optimize operations, and gain comprehensive understanding for transformative impact.
Don't forget to take the quiz at 04:03!
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✅ Skills Covered
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- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
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This would be great to assess the trajectories of career paths of individuals in large organisations in relation to injury types, leave patterns and discipline issues. It could assist in early intervention, training and counselling to redirect and prevent skill shortfalls, and improve retention.
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I absolutely love the presentation. It's so straightforward and enjoyable to watch.
Thanks so much!
I will be taking a course next semester on this subject and you’ve given me an amazing entry to it all
Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )
very helpful for my College interview hope I can get it done !
You can do it! We wish you the very best.
Wish you good luck.
very good video, simple, consistent and clear
great job
Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
wow wow, this is the best video to explain hadoop and big data to me as a web developer. Thank you for great contents!
You're very welcome!
very good the video is! as a more than 5 years Spark user developer, i really love it!
Thanks for the lecture notes. they helped a lot. Please keep on sending me more lecture notes on big data.
This video is very helpful, and I likeu r teaching methodology 👌 keep doing more, tnq
Welcome 😊
Thank you for this video, I got excited to learn more about this world and work with it.
Glad it was helpful!
Wow can just believe this I got my cvv from Milan dumps this evening..gat your back bro.
Thanks for watching our video. Cheers!
Awesome introductory video! Was very helpful. Big Data and Data Science are sure to change the world in multiple fields! I love how this channel is all about learning new things!
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!
@@SimplilearnOfficial Yes, I will be sure to keep coming back for more things to learn and share!
Sweet explanation and so inspiring . A big thank you. The answer is C. As for future impact, it'd undoubtedly impact every facet of life as voluminous data continues to be systematically produced as more and more aspects of our lives gets connected(for instance: from smart homes, smart cities, transport systems, smart hospitals, airplanes to wearables etc) all generate huge data streams. As a consequence, it'll fuel manufacturing of more high end or super computers to handle the required fast processing demands we are witnessing. Keep up the good work Simplilearn. Applause from Sierra Leone.
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Thanks for explaining it in very creative way...It was very helpful 😇
Glad it was helpful!
I really needed quick explanation on this...thank you so much.. very well explained.....:)
Glad it was helpful! Thank you for watching!
This is so helpful for my job interview. Thank you! ❤️
Hello, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Don't ever trust simply learn. No support once you pay the course fee. Unable to attend the Live classes and unable to view archives of live classes.complsined, register ed tickets for many times but no favourable actions services from simple learn team.
wish you good luck, Happy Exploring Opportunities.
Oo really just umb myre
R.devi... Mam are you a data scientist?
option "c " is ans. AND
The impact of big data will be significant in many ways. One way is that organizations will be able to make better decisions by analyzing large data sets. For example, a company might be able to improve its marketing by analyzing data on customer behavior. Additionally, big data can be used to improve operations and efficiency. For instance, a company might be able to use big data to streamline its production process.
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Very helpful I subscribed to you I’ll keep watching ur vids
Correct option is C
As it’s map reduce which performs parallel processing
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
It's really helpful to understand what is Big Data. Can you make videos on, how can we work on this technology real-time.
Hey Ghulam, thank you for watching our video. We will definitely look into your suggestions. Do subscribe and stay tuned for updates on our channel. Cheers :)
Thanks for the explanation!! Super Clear and pedagogical!!
Glad it was helpful!
Very informative video, i wish you could have explained about other frameworks as well, like Casandra & Spark. If you have already explained about them in any of your videos please share the link.
Thanks
Gurvinder
Hi Gurvinder, we are glad you found our video informative. You can check out Spark videos in this link: th-cam.com/video/znBa13Earms/w-d-xo.html.
Perfect and simple explanation, even a dummy could relate to it. Plus that's how to advertise a product.
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 explaining big data in such a good manner.
Glad it was helpful! Thank you for watching!
I so love this presentation. that's easily understood
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 :)
Awesome video. Concepts are explained clearly and easy to understand.
Glad it was helpful!
Well, The impact of Big Data would clearly have a huge impact at the studies of The Universe. And it will help us to study the patterns of The Universe and it will lead us to create a theory of everything which includes almost all the information about The Universe. Well, to be more precise that's why I started studying Data Science at the first place.
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I really enjoy this vedio,I get what i looking for and ur graphic presentation is very well easy to understand
Thank you so much 🙂
Video was simple and Easy to understand. Thanks. It's was nice learning for me..
Glad it was helpful!
Really Awesom Explanation Plus Great Visualisation Which Creates More Interest To Know About The Topic Great Work Thanks A Lot It Really Helped Me 🥰❤️
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Good job. Very informative video. I liked the narration and animation. I think answer C is the wrong statement. I'm planning to do my thesis on Big data and this video is inspiring. Thanks :)
"Hi Adarsh, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Very attractive presentation and very clear explanation. Thank you.
Glad it was helpful!
Excellent.. Simple and best overview in 5 mins
Glad it was helpful!
Answer C. HDFS is the storage level where smaller chunks of data get stored in a distributed manner
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Beautiful presentation, thanks for this 👍👍👍
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 :)
This video is good presentation and better understanding with simple standards
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 :)
very informative video, I joined the Data Analytics course from simplilearn.... The answer to your question is C, its not the job of hdfs
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
I am studying just 11th and I am soo much satisfied with those explaination 😍♥️♥️♥️ Thnx @simplilearn
Most welcome!
Thank you so much for this explanation love that, hope team having a good day, much love :8
Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )
Option A is the answer...so informative video
very helpful , lot of informations , simple explanation , great presentation
thank you very much
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HDFS is the storage layer of Hadoop.option A is incorect.
"Hi, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct answer is Option C which is the wrong statement. The explanation is given below:
HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
great quick explanation on HDFS storage layer with Hadoop putting copies on many computers, with MapReduce being the data processor
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Thanks for making this video. I love it.
Glad you enjoyed it!
Extremely Helpful! Thanks!
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!
Option A
This is a straightforward and amazing explanation to big data.
"Hi, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct answer is Option C which is the wrong statement. The explanation is given below:
HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Thank you for such great explanation of big data and use of big data!
Answer - "C"
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Hi Jitendra. I am completely non technical person. Just found this video. Quick question : was this answer mentioned in the video or do you know this because you are a technical person?
I ask because I thought the answer was A :) Please help me. Would love to get a clearer understanding :)
We can use big data to predict economy crashing earlier, we can also do weather forecasting based on future events, we can use costumers data to give them the right product or service
Finally got it👍👍 Great work👍👍 thank you 👍👍
Glad it helped! Thanks for watching!
Thanks for the wonderful explanation about big data, and am waiting for the detailed lessons about the same
I think the answer is C and i know the time may be over, but please assess the result and let me know, thanks and availing your replay
"Hi Sarath, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Answer C. HDFS is the storage level where smaller chunks of data get stored in a distributed manner.
Hi Bairkoo,
You got that right. It is indeed option C.
I love the presentation.. really helpful
Your satisfaction is our top priority, and we're thrilled to hear that you had a positive learning experience with us! If you're interested in pursuing additional learning opportunities, we encourage you to take a look at certification courses in the description box.
Thank you for this amazing presentation
Our pleasure!
Option C. Instead mapreduce is used for parallel processing. HDFS is used for storage purpose.
Hi, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 18th Dec 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi Shweta Redkar, you got the right answer. Kudos.
Congratulations on being one of the three winners!
Please respond to this comment with your location and your email ID, so that we can send you
your amazon voucher!
The answer to the quiz is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
F 😂
A
Very nice vedio I am also studying big data and analytics ❤
Hi, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 18th Dec 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi, we are sorry to say that you got the wrong answer.
The answer to the quiz is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
Correct option is C
Very helpful video..
Explained quickly
Glad it helped! Thank you for watching!
Thank you for making it simple
Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
The video was short & informative! But you should have included disadvantages of Big data.
Thank you for the feedback! We'll make sure to take care of this in the upcoming videos. Thank you for watching!
brilliant and informative.many big theories described like a pro.
Wow, thanks!
Its C option is correct.
It's a good video and an easy explanation. Thank you
You're right! The correct answer is Option C which is the wrong statement. The explanation is given below:
HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
Unfortunately the competition is now over. Thank you for watching and participating!
I love this video. Very Helpful
Glad it was helpful! Thank you for watching!
OPTION C : AS IT's the job of MR for processing data in parallel
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
C: HDFS performs parallel processing of data 👍🏻🤗🤗🤗
"Hi Rishabh, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
option A is the answer
What!! an idea u are using to attract more users at least for an offer they will watch your videos. I have a similar idea to attract users. I like your idea that is why I have subscribed your channel now. Have a good future.
"Hi, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct answer is Option C which is the wrong statement. The explanatiaon is given below:
HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Very nice explanation, for beginners It was very good, keep going on
Thank you so much 🙂
HDFS is the storage layer of Hadoop
its option :A
"Hi, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct answer is Option C which is the wrong statement. The explanatiaon is given below:
HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
@@SimplilearnOfficial shut up your mouth.
I seems that you are very proud of your knowledge.😕>.
C. HDFS performs parallel processing of data.
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
@@SimplilearnOfficial ( contest is over..! ) Schem is Activated😂😂
Very informative, Thanks.
Glad it was helpful!
Thank you for explaination.
Glad it was helpful!
The answer is option C
And i think big data is going to play a vital role in the automotive industry especially as more car manufacturers are planning to launch self drive vehicles which will need and in turn generate lot of data
Hi, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 18th Dec 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi, you got the right answer. Kudos.
The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The answer to the quiz is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
2:53 : I just don't understand how in Parallel Processing, the tasks can be run on different machines ? Which machines are we talking about?
It refers to cloud computing
computers and other such devices
Hi, Hadoop uses MapReduce architecture to perform parallel processing of data on clusters of commodity hardware. There are computers systems that have the ability to store and process vast volumes of data faster.
Very nice and easy to understand presentation
Thank you so much 🙂
Beautifully explained. Thank you so much. You just earned another subscriber.
Awesome, thank you!
Ans C is correct. Because it's under map technique which is after the HDFS
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Option A..HDFS is a storage layer of Hadoop
"Hi, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct answer is Option C which is the wrong statement. The explanation is given below:
HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Very informative and well explained. Thanks!
Glad it was helpful!
Beautiful presentation ☺️
Thank you! Cheers!
The answer to the question is C - HDFS performs parallel processing of data. (which is not correct)
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Answer is 'A' HDFS is the storage layer of Hadoop
Hi, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 18th Dec 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi, we are sorry to say that you got the wrong answer.
The answer to the quiz is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
The Hadoop distributed file system breaks down the big chunk of a file into smaller ones which helps in easy handling of the big data files, can further be used for faster data processing on different machines using parallel processing. we can simply understand this with the example of torrent or DC++ or file sharing websites, where the bigger movie file is broken into smaller files and get downloaded in user's PC from different sources this avoids any data loss and faster downloading of files from multiple sources rather than using a single source. Therefore, the Question's answer is option D
Hi, thanks for your reply! We will give out the answer to the quiz coming Wednesday, 18th Dec 2019. If your answer is right, you could be one of the 3 lucky winners to grab Rs 500 or 10$ worth Amazon voucher. Stay Tuned!
Hi, we are sorry to say that you got the wrong answer.
The answer to the quiz is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
Thanks for sharing this is very interesting
Glad you enjoyed it. Do subscribe to our channel and stay tuned for more.
Option A- HDFS is a storage layer of Hadoop
"Hi, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
I need notes for New and old approaches of big data
We don't have any pdf of this particular video. For slides, you can check out our slideshare profile: www.slideshare.net/Simplilearn"
@@SimplilearnOfficial ok
Thank you so much for such explaining such brief Data in short time .
C. Is not correct , HDFS is used for strong purpose..
"Hi Dipti, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Thankyou. Very helpful video
Glad it was helpful!
40EB of data gets generated every month by a single smart phone user? where is the data from? that's so superised
Why there is no tech Tuesday today ??
Season-1 is over. Embrace yourself for the season 2 next year. THanks.
Ok. Thanks
Nice explanation with good animated
And answer is Option C
"Hi Surya, you found the correct answer. The contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The explanation for the answer is given below:
Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
Good video
Thank you!
Glad you liked it! Thank you for watching!
Option A: HDFS is the storage layer of Hadoop.
"Hi, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct answer is Option C which is the wrong statement. The explanatiaon is given below:
HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
The answer for the question is A:HDFSis the storage loyer of Hadoop
"Hi, we are sorry to say that you got the wrong answer but in any case, the contest is over and winners have been announced in our community and also mentioned in the top comment of the video as well. Thanks for your participation.
The correct answer is Option C which is the wrong statement. The explanation is given below:
HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
"
I can't wait for January to come! I must become a bid data engineer!! Be ready to welcome me!!!!
You can do it. All the best!
Thanks ❤
i want my amazon gift voucher, its been 3 years
Hi everyone, we conducted a quiz contest in this video. The answer to the quiz is given below:
Option C: AI that develops emotions over time
Explanation: Option C is the wrong statement. HDFS does not perform parallel processing as it is the work of MapReduce. HDFS is the storage layer of Hadoop that stores smaller chunks of data on multiple data nodes in a distributed manner. As we have asked for the incorrect statement, the answer is option C.
We are pleased to announce the 3 lucky winners who got the right answer for our quiz:
1. chowdary b k c
2. Shweta Redkar
3. Archen Zhang
Congratulations to all the winners! They've won an Amazon voucher worth INR 500.
@@rahulchoudhary6205 wtf more do u want bruh?
@@swapnilmishra7368 bro smaller competitions in colleges gives atleast 1k
Thanks for watching our videos. Cheers!
@@rahulchoudhary6205 you were paying a money in college.but, what did you paid for watching this video. they giving us the free knowledge
@@rahulchoudhary6205 Its free money bruh , even if it was 50 i'd take it
All four options are correct answer..!!
I wish you do a full tutorial of bigdata/hadoop
Hi, we have both big data and hadoop full course videos. You can check them out below:
1. Big data Full Tutorial: th-cam.com/video/KcecJfxbd-4/w-d-xo.html
2. Hadoop Full tutorial: th-cam.com/video/5zJt9qAe01w/w-d-xo.html
The future of data storage will work along side with nature for if not our ecological systems and our energy sector may not by able to adjust to usage growth.
Thanks for sharing your view on data storage.
Very Good.I loved this video
Thank you so much 😀
Good information, thank.
Glad it was helpful!