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Отзывы учащихся о курсе Введение в большие данные от партнера Калифорнийский университет в Сан-Диего

Оценки: 9,651
Рецензии: 2,276

О курсе

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Лучшие рецензии

8 сент. 2019 г.

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

24 мая 2018 г.

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

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51–75 из 2,208 отзывов о курсе Введение в большие данные

автор: Deleted A

14 авг. 2016 г.

Really good course. But, I was unable to complete the final week as I had a lot of trouble installing the Cloudera platform for Hadoop. So, I would recommend others to get that installed well in advance or else if you wait till the last week you might not be able to finish it in time and 6 weeks of effort would go to waste like it did for me.

автор: Dinesh B

16 авг. 2020 г.

Amazing course as a first peek into the world of Big Data. I have always been averse to coding. But the MapReduce exercise and then the Hands-on assignment on implementing a Hadoop Big Data stack through the console was really fun to do. Thank you to the trainers and to San Diego Super Computing Center for such a great learning experience!

автор: Nurbek A

23 дек. 2020 г.

This course very practical and excellent in terms of learning big data. I faced two main challenges. 1) spend too much time setting my VirtualBox (it was related to enabling virtualization in bios and downloading 21 Gb file (Sandbox), also spending time on learning Sandbox. Finally could launch QuickStart File and everything worked well.

автор: Ahmed H

8 дек. 2019 г.

the course is great except for the peer graded assignments it should be done by instructors for more trust , in addition if i finished my course earlier than the deadline why i should wait , all that time to get my certificate , which is really a very bad point in a great course , this course is awesome in total except for that bad point

автор: Manuel H

5 дек. 2016 г.

It is a fantastic course for beginners. The modules and the teachers are very clear, and the content is so good.

After this course, I can say I know something about Big Data, no idea before do this course. The examples and the Virtual Machine was so helpful to understand how hadoop works.

Thanks a lot... a fantastic course... thanks true.

автор: Vishnu V R A

23 апр. 2017 г.

I have got very useful information about Big Data and the need for mapreduce programming model and Hadoop Distribution Framework. I had also got very clear understanding of how to run a mapreduce framework using open source cloudera virtual machine. The entire course is easy to read and understand and fun. Thanks for the instructors.

автор: Balaji N

25 июня 2017 г.

The course was very useful especially foundation materials and the way in which concepts were presented in a simplified manner with examples, key points, slide text and additional study materials. With respect to my background in IT, project Management in HRIT and technical skills, the course fulfilled my expectations almost 80%

автор: Allen J M A

22 авг. 2017 г.

Very comprehensive introductory course for big data. The course contains a number of materials which are very sufficient to allow students to know more about the topic being discussed. The quizzes are nicely structured to ensure that students study and understand all materials and video presentations. Kudos, UC San Diego!

автор: Caio S

25 апр. 2017 г.

I have appreciated the course as it explains the main concepts of Big Data drilling through until several tools which can be used to implement important operations for Big Data analytics, for example, how does a search engine basically works. It has very interersting topics and will help me up in my daily job routines.

автор: Biman D

28 авг. 2016 г.

I wish to thank you for such a fantastic course to introduce to the exciting world of Big Data. The concepts were explained beautifully with relevant examples. A special thank you note for Prof Altintas and Prof Gupta for making this so simple.

Looking forward to the next set of courses to explore Big Data in detail.

автор: Naveen S

19 авг. 2016 г.

The course was in he sense truly introduction to Big data Domain and discusses the origin and reason Big Data technologies are required.

The only improvement, I would like to suggest is raise the difficulty level of quiz,so that they motivate student to review and understand the key points discussed during tutorial.

автор: Jordi C

12 июля 2016 г.

Much better than the previous version (2015) with all concepts very well explained, using examples to clarify them when necessary.

I would have liked to go deeper with Hadoop (in last version of the specialization, Hadoop was a separate course), but anyway, as an Introduction to Big Data, this is an excellent course.

автор: Prospero-Martin R

31 янв. 2018 г.

I really liked this course! It take you from the ground up and smoothly ramps up little bit into more detail. Big Data is a vast area and I am aware that there's lots to learn, but now I have a better understanding of what Big Data is. Definitely I am taking the other 5 courses in the "Big Data Specialization".

автор: Daniel K

24 мар. 2021 г.

It was a nice course to undertake. Just one more thing, the part for hadoop installation needs to be more clear. How does hadoop exist in the operating system we just installed? is it an application similar to apps like Ms Word? I was just following instructions but got lost on the ecosystem of hadoop itslelf.

автор: Pankaj K M

4 июля 2020 г.

The course was really helpful to boost knowledge abt the Apache Hadoop Ecosystem. The overall course provides the better environment to learn abt various programming model working over big data & makes skilled abt the work with MapReduce for Hadoop 2.0 😇😇 Thank you Coursera for being our learning partner ✌✌

автор: Ananth T M

8 апр. 2018 г.

It was a great introduction. The slides are packed with a lot of information, so do take copious notes if you are like me :). This does not delve too much into programming, but do remember you need a computer with 8 GB RAM, quad core processor, etc for the introductions to Hadoop implementation in Cloudera.

автор: Swetha M K

25 июня 2018 г.

Very detailed explanation of concepts, which though might be common but in the context of Big Data is good to go over. The course naturally transits over tops and finally leads you into the main Hadoop , MadReduce concepts which becomes very easy to understand thanks to all the explanation provided earlier

автор: roman b

15 нояб. 2019 г.

Great introduction to Big Data concept - just right pace, course design, and most importantly, very clear explanation of the ideas, with relevant examples. It appears that both instructors really love this field and doing their best to induce an interest in learners (they succeeded in my case, for sure:)

автор: Tejal G B

1 июля 2020 г.

It was an amazing experience. I got to learn a lot of new things including big data concepts like where it is used, who uses it, why is it important. Along with this also got to learn about data science concepts. Thank you, sir and ma'am, for sharing your practical experience. It was of a lot of help.

автор: Saeed Z G

7 июня 2020 г.

As an introduction course is sufficient to learn the basic concepts. I have hands on Big Data for several years and liked to get certified. This course professionally provides concepts. A Data Scientist and Big Data Engineer, I believe that we have a long journey to go and this journey will never end.

автор: Sukanta M

25 окт. 2017 г.

I was looking for this type of course of BigData. I have spent hours to read through different blogs and articles. But couldn't get better idea/direction how to start or where to start. This is ideal course for getting started on Big Data. I enjoyed all the slides and hands on very much. Thank you.

автор: Steve S

12 апр. 2018 г.

Based on a previous course I took, I didn't think that this course would be as informative and practical. As it turned out, this was a great introduction to big data along with a practical exercise using hadoop. Very well organized and professionally done. I will take other courses from UC San


4 дек. 2018 г.

Everything was explained in brief manner with day to day examples . Thanks to Ilkay Altintas and Amarnath Gupta for their clear cut explanations and also my reviewers for my assignments . Such an awesome course for beginners. Ample amount of time was given to finish this course successfully

автор: Anton V

20 июня 2017 г.

For me this is my first online course and I am flabbergasted by the quality and comfort of studying online. I think the course is well structured, very knowledge intensive, but well balanced. You learn a lot in a relatively short time frame. Thank you very much for this fantastic course.

автор: Jaime G C T

1 нояб. 2020 г.

This course is good introductory program that delves into the multidisciplinary and rapidly-evolving nature of Big Data and Data Science. The hands-on data analysis activities are well-designed and encourage learners to explore more big data analytics and cloud computing applications.