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.
very helpful for my College interview hope I can get it done !
I absolutely love the presentation. It's so straightforward and enjoyable to watch.
wow wow, this is the best video to explain hadoop and big data to me as a web developer. Thank you for great contents!
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.
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
I will be taking a course next semester on this subject and you’ve given me an amazing entry to it all
Perfect and simple explanation, even a dummy could relate to it. Plus that's how to advertise a product.
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.
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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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.
very informative video, I joined the Data Analytics course from simplilearn.... The answer to your question is C, its not the job of hdfs
Thank you for this video, I got excited to learn more about this world and work with it.
Option C. Instead mapreduce is used for parallel processing. HDFS is used for storage purpose.
This is so helpful for my job interview. Thank you! ❤️
very good the video is! as a more than 5 years Spark user developer, i really love it!
This video is very helpful, and I likeu r teaching methodology 👌 keep doing more, tnq
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