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

4.6
звезд
Оценки: 9,647
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

HM
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.

PB
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.

Фильтр по:

176–200 из 2,207 отзывов о курсе Введение в большие данные

автор: Mahesh S

21 окт. 2019 г.

Concepts are taught using simple examples. Lecture are clear and concise. Illustrations are very good. Course Quiz really test our knowledge. Overall Good Course and well presented !!!

автор: juan

11 дек. 2020 г.

Excelente la información y el conocimiento impartido por los tutores con una sencillez hacen que se entienda muy claro asi mismo las actividades y evaluaciones son excelentes. Gracias

автор: Alejandra U M

19 окт. 2020 г.

It is an excellent course that, although it is introductory, allows you to know and learn the main features of big data and to understand very important aspects for professional life.

автор: Imtiaz A

17 окт. 2020 г.

It was very informative and I really updated my self. I would like and it is my wish to have complete all the courses regarding IT and any related to my knowledge to fillup my thirst.

автор: Mahesh M S

18 июля 2020 г.

Excellent course for someone trying to understand what Big data is and what the applications of it are. There is also an introduction to data analysis in a concise but effective form.

автор: Lauro O

2 июля 2017 г.

Excellent training. It gives you all the basic knowledge you need to get involved within all this new hype which is Big Data.

This training is intended for absolute beginners as I was.

автор: Clairton M

26 мар. 2020 г.

This course gives you strong fundamentals that are extremely important to Big Data subject. Although is an introductory course there is hands-on exercises, not only theory material.

автор: Peter R V A

22 июля 2017 г.

This was an excellent course on introduction to Big Data. The videos were really useful. This being my course from coursera I'm looking forward to do more course here. Thanks a lot.

автор: Jason M

8 авг. 2016 г.

This course gave us very clear instruction what the basic ideas are about big data and the structure of Hadoop. It's very easy to understand even without any background knowledge.

автор: Tarik B

11 дек. 2017 г.

This was a very good course. The move pretty quickly through the necessary bits of information you need about each subject. This will definitely help me in conversations at work.

автор: Rahul T

28 окт. 2017 г.

Thank you so much for your sharing your great experience with us. This really helped me to learn a lot about Big Data. Real life examples and experiences are are just awesome. :)

автор: Satyendranath Y

16 июля 2017 г.

This is the very good session where the trainers have been explain each and every aspect of BigData with real time and real life examples. I have learned a lot and enjoyed a lot.

автор: Quentin B

15 окт. 2018 г.

This course was a great opportunity to have an overview of what is the BigData and what does it use influence the businesses and our daily lives. Good job from the professors!

автор: Luis M

30 окт. 2020 г.

I work in finance, so I was new to many concepts, but the course is very well grounded in very basic concepts both of the world of data and the technical aspects of big data.

автор: Aldo C A M

29 июня 2020 г.

So useful to better know the fundations of Big Data! I thought it was going to be only about theory but fortunately we did some stuff in the command line too and I loved that

автор: SHORAV V

6 мая 2020 г.

This Course helps us to learn a variety of Course Content and we can also check that how much we can raise our level along with the knowledge. Thank you for this Opportunity.

автор: Lucas A

15 дек. 2020 г.

Awesome introduction to the hadoop ecosystem and how to assess whether Big Data is really a fit for one current's needs. Without all the buzz currently surrounding the topic

автор: Pavnish K R

11 окт. 2017 г.

thanks coursera organization to recommended me this course. Before start this course i had no knowledge about the Big Data but now i have lot of knowledge about this course.

автор: ANIKET P

19 сент. 2017 г.

The mentors are really very good in teaching.i like to be a part of this free demo section and i know how much interesting facts that i am going to learn in another section.

автор: Yuqing Z

12 сент. 2018 г.

Great introductory course. It is great for people with absolutely no big data knowledge like me. It explains concepts clearly. Look forward to other courses in this series.

автор: Luis H

6 сент. 2016 г.

Good introductory course. The first lessons are slow so I recommend watching them on 2x speed. The last lesson (hands on) is better because it gives a real taste of hadoop

автор: SHIVANI S

5 мая 2020 г.

It was really helpful and I completely enjoyed doing the course because of the hands on project at last.I gained much more than wha ti knew in the class.

Thankyou Coursera

автор: Eduardo C S

21 февр. 2020 г.

Aprendi muito sobre os conceitos do Big Data, quais seus benefícios e como utilizá-lo. Também aprendi sobre o ecosistema Hadoop e os Core (HDFS, Yarn, MapReduce) do mesmo.

автор: Наталья Д

22 авг. 2018 г.

I really liked the course. For me, this is a completely new and unknown facet. Practical tasks-it's super! Make with interest to achieve results. Wow! Thank you very much!

автор: Tuan N

12 дек. 2019 г.

Easy understanding the course, suitable for newbie. Reasonable schedule and assignment pressure push learners go ahead. Sometimes system email encourages you not give up.