Big Data In 5 Minutes | What Is Big Data?| Big Data Analytics | Big Data Tutorial | Simplilearn

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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
- Real Time Data Processing
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[@elenamadalinavasile208]

I absolutely love the presentation. It's so straightforward and enjoyable to watch.

[@SimplilearnOfficial]

Thanks so much!

[@joachimgilroy4738]

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.

[@SimplilearnOfficial]

Thanks for sharing your view. Do subscribe to our channel and stay tuned for more!

[@kinlongchow9010]

very helpful for my College interview hope I can get it done !

[@SimplilearnOfficial]

You can do it! We wish you the very best.

[@TimesofCoding]

Wish you good luck.

[@zhihongshen8765]

very good the video is! as a more than 5 years Spark user developer, i really love it!

[@jemillamansaray5689]

I will be taking a course next semester on this subject and you’ve given me an amazing entry to it all

[@SimplilearnOfficial]

Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

[@morenoaf]

very good video, simple, consistent and clear great job

[@SimplilearnOfficial]

Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!

[@OriginalBishal]

Thank you for the concept of Big data. It was very helpful for my upcoming exam. By the correct option is A.

[@mr.abubakarrfofanah7674]

Thanks for the lecture notes. they helped a lot. Please keep on sending me more lecture notes on big data.

[@mohamedkanu66]

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.

[@SimplilearnOfficial]

"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. "

[@t2lacademy614]

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!

[@SimplilearnOfficial]

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!

[@t2lacademy614]

​@@SimplilearnOfficial Yes, I will be sure to keep coming back for more things to learn and share!

[@abiyagamingff8556]

Option A is the answer...so informative video

[@MinhLe-bc9ui]

wow wow, this is the best video to explain hadoop and big data to me as a web developer. Thank you for great contents!

[@SimplilearnOfficial]

You're very welcome!

[@vivekananda3288]

This video is very helpful, and I likeu r teaching methodology 👌 keep doing more, tnq

[@SimplilearnOfficial]

Welcome 😊

[@rubennadevi]

This is so helpful for my job interview. Thank you! ❤️

[@SimplilearnOfficial]

Hello, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)

[@latestyoutubevideosservice5851]

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.

[@TimesofCoding]

wish you good luck, Happy Exploring Opportunities.

[@stalvin7504]

Oo really just umb myre

[@kpmvishnu]

R.devi... Mam are you a data scientist?

[@fredicklewis2489]

Wow can just believe this I got my cvv from Milan dumps this evening..gat your back bro.

[@SimplilearnOfficial]

Thanks for watching our video. Cheers!

[@MakeItFlyofficial]

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

[@SimplilearnOfficial]

"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. "

[@renatas9641]

Thank you for this video, I got excited to learn more about this world and work with it.

[@SimplilearnOfficial]

Glad it was helpful!

[@mahakjaiswal8194]

Thanks for explaining it in very creative way...It was very helpful 😇

[@SimplilearnOfficial]

Glad it was helpful!

[@Highplus03]

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.

[@SimplilearnOfficial]

"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. "

[@ZeeshanAbbasi-gm4gj]

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

[@sandhuyoo]

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

[@SimplilearnOfficial]

Hi Gurvinder, we are glad you found our video informative. You can check out Spark videos in this link: kzbin.info/www/bejne/sJ-lkmRpesalo9U.

[@changunadesai4414]

Awesome video. Concepts are explained clearly and easy to understand.

[@SimplilearnOfficial]

Glad it was helpful!

[@ITiersBusiness]

Thanks for the explanation!! Super Clear and pedagogical!!

[@SimplilearnOfficial]

Glad it was helpful!

[@selvajothig9345]

I so love this presentation. that's easily understood

[@SimplilearnOfficial]

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 :)

[@santhoshnair2680]

Beautiful presentation, thanks for this 👍👍👍

[@SimplilearnOfficial]

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 :)

[@ghulamnadeem2012]

It's really helpful to understand what is Big Data. Can you make videos on, how can we work on this technology real-time.

[@SimplilearnOfficial]

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 :)

[@rehanasarvaiya1817]

I really needed quick explanation on this...thank you so much.. very well explained.....:)

[@SimplilearnOfficial]

Glad it was helpful! Thank you for watching!

[@saumyasathsaranirathnayake2341]

Very attractive presentation and very clear explanation. Thank you.

[@SimplilearnOfficial]

Glad it was helpful!

[@dinukabimsarabodaragama716]

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.

[@SimplilearnOfficial]

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

[@EmdeeTiamiyu]

Perfect and simple explanation, even a dummy could relate to it. Plus that's how to advertise a product.

[@SimplilearnOfficial]

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.

[@CromaCampusOfficial]

Thanks for explaining big data in such a good manner.

[@SimplilearnOfficial]

Glad it was helpful! Thank you for watching!

[@mitra.1]

Excellent.. Simple and best overview in 5 mins

[@SimplilearnOfficial]

Glad it was helpful!

[@RahulJohn-sv8gz]

I am studying just 11th and I am soo much satisfied with those explaination 😍♥️♥️♥️ Thnx @simplilearn

[@SimplilearnOfficial]

Most welcome!

[@adarsh4700]

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 :)

[@SimplilearnOfficial]

"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. "

[@thulasiram391]

Finally got it👍👍 Great work👍👍 thank you 👍👍

[@SimplilearnOfficial]

Glad it helped! Thanks for watching!

[@abdullahalnaseeh]

I love the presentation.. really helpful

[@SimplilearnOfficial]

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.

[@Aayesha.Shaikh]

Really Awesom Explanation Plus Great Visualisation Which Creates More Interest To Know About The Topic Great Work Thanks A Lot It Really Helped Me 🥰❤️

[@SimplilearnOfficial]

Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!

[@captaiincold6275]

Thank you so much for this explanation love that, hope team having a good day, much love :8

[@SimplilearnOfficial]

Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

[@CGKRAM8018]

Extremely Helpful! Thanks!

[@SimplilearnOfficial]

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!

[@kevtalks5432]

Thanks for making this video. I love it.

[@SimplilearnOfficial]

Glad you enjoyed it!

[@benjaminopiyo8386]

Option A This is a straightforward and amazing explanation to big data.

[@SimplilearnOfficial]

"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. "

[@jitendrakumarvishvakarma1547]

Thank you for such great explanation of big data and use of big data! Answer - "C"

[@SimplilearnOfficial]

"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. "

[@priyadarshiniprasad5747]

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 :)

[@dinesh-uw2yi]

This video is good presentation and better understanding with simple standards

[@SimplilearnOfficial]

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 :)

[@hemanthkumarr4744]

I really enjoy this vedio,I get what i looking for and ur graphic presentation is very well easy to understand

[@SimplilearnOfficial]

Thank you so much 🙂

[@BairkooMalakshinov]

Answer C. HDFS is the storage level where smaller chunks of data get stored in a distributed manner.

[@SimplilearnOfficial]

Hi Bairkoo, You got that right. It is indeed option C.

[@errinwright]

great quick explanation on HDFS storage layer with Hadoop putting copies on many computers, with MapReduce being the data processor

[@SimplilearnOfficial]

We are so grateful for your kind words. Also, subscribe to our channel and stay tuned for more videos. Cheers!

[@rushalkoli9010]

Video was simple and Easy to understand. Thanks. It's was nice learning for me..

[@SimplilearnOfficial]

Glad it was helpful!

[@nirmalpoudel4286]

Thank you for this amazing presentation

[@SimplilearnOfficial]

Our pleasure!

[@shwetaredkar734]

Option C. Instead mapreduce is used for parallel processing. HDFS is used for storage purpose.

[@SimplilearnOfficial]

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!

[@SimplilearnOfficial]

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.

[@sparshruhela8584]

F 😂

[@getting.motivate5283]

A Very nice vedio I am also studying big data and analytics ❤

[@SimplilearnOfficial]

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!

[@SimplilearnOfficial]

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.

[@punamdeshmukh6891]

Correct option is C

[@humbleman8476]

very informative video, I joined the Data Analytics course from simplilearn.... The answer to your question is C, its not the job of hdfs

[@SimplilearnOfficial]

"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. "

[@user-td3dm1yj3r]

very helpful , lot of informations , simple explanation , great presentation thank you very much

[@SimplilearnOfficial]

We are delighted to have been a part of your learning journey! If you want to continue honing your skills and keeping up-to-date with industry trends, check out our course offerings in the description box.

[@sarathkumarc3727]

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

[@SimplilearnOfficial]

"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. "

[@itechkupsa4767]

Answer C. HDFS is the storage level where smaller chunks of data get stored in a distributed manner

[@SimplilearnOfficial]

"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. "

[@rameshvijaya]

Very informative, Thanks.

[@SimplilearnOfficial]

Glad it was helpful!

[@nessaklau4686]

I love this video. Very Helpful

[@SimplilearnOfficial]

Glad it was helpful! Thank you for watching!

[@imursoftwarebaba7650]

HDFS is the storage layer of Hadoop.option A is incorect.

[@SimplilearnOfficial]

"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. "

[@girijaprasannamallick9649]

brilliant and informative.many big theories described like a pro.

[@SimplilearnOfficial]

Wow, thanks!

[@newmoneymarcus]

Thanks for sharing this is very interesting

[@SimplilearnOfficial]

Glad you enjoyed it. Do subscribe to our channel and stay tuned for more.

[@mukeshudayakumar7499]

All four options are correct answer..!!

[@dhairyajain3291]

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

[@SimplilearnOfficial]

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!

[@SimplilearnOfficial]

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.

[@DR.SHAURYA1]

The video was short & informative! But you should have included disadvantages of Big data.

[@SimplilearnOfficial]

Thank you for the feedback! We'll make sure to take care of this in the upcoming videos. Thank you for watching!

[@sagarmakhija2526]

Very helpful video.. Explained quickly

[@SimplilearnOfficial]

Glad it helped! Thank you for watching!

[@yassinebayoudh1031]

Thank you for making it simple

[@SimplilearnOfficial]

Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!

[@trendy_fashionsclubtf9097]

HDFS is the storage layer of Hadoop its option :A

[@SimplilearnOfficial]

"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. "

[@PrayashRanjanMohantyB]

@@SimplilearnOfficial shut up your mouth. I seems that you are very proud of your knowledge.😕>.

[@Rohit.Kumar.726]

C. HDFS performs parallel processing of data.

[@SimplilearnOfficial]

"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. "

[@KDKolte]

@@SimplilearnOfficial ( contest is over..! ) Schem is Activated😂😂

[@henokalamineh7838]

good presentation

[@yaswanthchowdary2107]

Thanks ❤

[@rishabhsingh5226]

C: HDFS performs parallel processing of data 👍🏻🤗🤗🤗

[@SimplilearnOfficial]

"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. "

[@deepaksahirwar]

OPTION C : AS IT's the job of MR for processing data in parallel

[@SimplilearnOfficial]

"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. "

[@shreyachakrabarti6161]

Beautiful presentation ☺️

[@SimplilearnOfficial]

Thank you! Cheers!

[@edinimusic]

Thankyou. Very helpful video

[@SimplilearnOfficial]

Glad it was helpful!

[@sachinkaushal7549]

Answer is 'A' HDFS is the storage layer of Hadoop

[@SimplilearnOfficial]

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!

[@SimplilearnOfficial]

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.

[@jithendrareddytamma6565]

Ans C is correct. Because it's under map technique which is after the HDFS

[@SimplilearnOfficial]

"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. "

[@haftulegesse9022]

Really interesting video!

[@sakshigaikwad142]

Thank you for explaination.

[@SimplilearnOfficial]

Glad it was helpful!

[@PerryVo]

The answer to the question is C - HDFS performs parallel processing of data. (which is not correct)

[@SimplilearnOfficial]

"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. "

[@davidblaise6809]

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?

[@davefrank3945]

It refers to cloud computing

[@subhadipbhattacharya3950]

computers and other such devices

[@SimplilearnOfficial]

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.

[@akankshasoni3479]

Very nice and easy to understand presentation

[@SimplilearnOfficial]

Thank you so much 🙂

[@Bobjihoo]

Good video Thank you!

[@SimplilearnOfficial]

Glad you liked it! Thank you for watching!

[@rupshachakraborty6059]

Option A..HDFS is a storage layer of Hadoop

[@SimplilearnOfficial]

"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. "

[@Chudybest]

Option A- HDFS is a storage layer of Hadoop

[@SimplilearnOfficial]

"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. "

[@IGLJokerYT]

Very nice explanation, for beginners It was very good, keep going on

[@SimplilearnOfficial]

Thank you so much 🙂

[@emmanouilmorfiadakis118]

Very Good.I loved this video

[@SimplilearnOfficial]

Thank you so much 😀

[@bhargavikrishna2]

I need notes for New and old approaches of big data

[@SimplilearnOfficial]

We don't have any pdf of this particular video. For slides, you can check out our slideshare profile: www.slideshare.net/Simplilearn"

[@bhargavikrishna2]

@@SimplilearnOfficial ok

[@lijingru4022]

40EB of data gets generated every month by a single smart phone user? where is the data from? that's so superised

[@josephskow7102]

All of the above. Nice little video here.

[@SimplilearnOfficial]

"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. "

[@dheerajgudipati9375]

Beautifully explained. Thank you so much. You just earned another subscriber.

[@SimplilearnOfficial]

Awesome, thank you!

[@amritraj6676]

Why there is no tech Tuesday today ??

[@SimplilearnOfficial]

Season-1 is over. Embrace yourself for the season 2 next year. THanks.

[@amritraj6676]

Ok. Thanks

[@hassanshah3731]

Option A: HDFS is the storage layer of Hadoop.

[@SimplilearnOfficial]

"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. "

[@JulioALopezn]

Very informative and well explained. Thanks!

[@SimplilearnOfficial]

Glad it was helpful!

[@NMALLASYAMSUNDAR]

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.

[@SimplilearnOfficial]

"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. "

[@adhritgaming2325]

The answer for the question is A:HDFSis the storage loyer of Hadoop

[@SimplilearnOfficial]

"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. "

[@SimplilearnOfficial]

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.

[@swapnilmishra7368]

@@rahulchoudhary6205 wtf more do u want bruh?

[@rahulchoudhary6205]

@@swapnilmishra7368 bro smaller competitions in colleges gives atleast 1k

[@SimplilearnOfficial]

Thanks for watching our videos. Cheers!

[@avinashravi8946]

@@rahulchoudhary6205 you were paying a money in college.but, what did you paid for watching this video. they giving us the free knowledge

[@harshitpandey638]

@@rahulchoudhary6205 Its free money bruh , even if it was 50 i'd take it

[@dedisetiadi7642]

Good information, thank.

[@SimplilearnOfficial]

Glad it was helpful!

[@sunitkulkarni]

Its C option is correct. It's a good video and an easy explanation. Thank you

[@SimplilearnOfficial]

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!

[@madhankumars6752]

Best explanation guys.....syper

[@SimplilearnOfficial]

Thanks for the kind comment! Happy learning!

[@akankshamaurya6456]

Such a good explanation

[@SimplilearnOfficial]

Glad it was helpful!

[@amentertainment1049]

Wow good presentation ❤️❤️❤️

[@SimplilearnOfficial]

Thank you 😋