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Вернуться к Введение в большие данные

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

4.6
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Оценки: 9,608
Рецензии: 2,266

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.

RG
13 июля 2017 г.

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

Фильтр по:

126–150 из 2,199 отзывов о курсе Введение в большие данные

автор: Ravi V A

28 апр. 2020 г.

This course was taught by the expert very nicely and simple way. Also we can access easily all the resource provided. I enjoyed a lot while learning this course. Thank you very much for the entire team of this course.

автор: Muhammad F

11 авг. 2020 г.

I think this course is really helpful for students who wants to know more about big data, and a little bit information for how to analyze the big data. Thank you, it was fun to learning the big data from UC San Diego!

автор: Ramesh T V R

11 авг. 2018 г.

The course is very good for people who are new to Big Data. The basics were explained well in Layman's terms and is easy to understand. The Basics are strong now and looking forward to understand the in-depth concepts

автор: Vidal A C L

1 сент. 2017 г.

This gave me a thorough high level understanding of BigData, and reminded me how ubiquitous it is around it. I strongly recommend this course to my fellow Project Managers looking to discover more about BigData.

Vidal.

автор: Mohamad K

23 июля 2019 г.

Its a great course by great University and professional Teachers. The course explained and structured very well, as well designed to be considered to all students background. Fell the power of Big Data in real life.

автор: Sanket S

6 мар. 2019 г.

I found it quite interesting. The speakers make it very easy to understand as well as learning materials is also upto the mark and sufficient. Quizzes are of mixed type and are very appropriate to test the knowledge.

автор: Ahmed B

10 янв. 2018 г.

Amazing!

Actually, this is the first course for me on Coursera. I have learned a lot of valuable information and took a perfect knowledge from respected professors. I wish to finish this specialization in 6 months.

автор: Palak S

11 мая 2020 г.

This introduction course of big data is really well organized with adequate amount of content and clearly explained concepts for a beginner. I would definitely recommend this for all the beginner data enthusiasts.

автор: Melissa T

25 июня 2017 г.

Loved this course. The only thing I would suggest doing differently is if you receive an incorrect answer on a quiz to let you know what the correct answer is and a brief explanation. Instructor was excellent!

автор: Alvaro V

27 июня 2020 г.

Great introduction to big data applications, excellent material, videos, examples and tutors. Thank you so much to the tutors and the students who share with me. I hope to continue learning about big data world.

автор: Mohan T

17 февр. 2018 г.

Excellent experience, It took time to complete the assignments with hands on experience as i had issues with Dual & Quad core processors. However, now bought a new laptop with Quad core and the issue is resolved

автор: Soumik N

12 мая 2017 г.

The course has been fabulously designed. Hats off to the mentors for explaining the foundation of the course in such a lucid and easily comprehensible manner. Super excited to go to the next module of Big Data.

автор: Nicolás J C

14 авг. 2017 г.

Very good introduction to the Specialization. I feel like they cover the topics at the pace and intensity as needed. I left learning the basics and foundation of Big Data, which is the main goal of the course.

автор: Md. F K

15 авг. 2020 г.

This course was so helpful, I always wondered how this huge amount of data are processed or stored. Well this Big Data Introduction course taught me that. I also learned MapReduce, how to use it in real life.

автор: VIKASH K

12 февр. 2017 г.

This course is so useful for the students who are just enetering the world of Big Data...It helps to understand all the terms and related meanings and also the applications required to do the big Data project

автор: Toshio C

6 окт. 2020 г.

I liked this course a lot. It covered many basic concepts about big data characteristics and actual examples. The best part were the examples for conceptual understanding of MapReduce application. Great job.

автор: Giacomo D

11 янв. 2018 г.

Very gentle and effective introduction to the Big Data field, covering the general concepts and providing clear examples. Ideal for everybody interested in the topic. No specific programming skills required.

автор: YangC

1 янв. 2018 г.

Fruitful learning for me and made me more confident in my new assignment. I feel more excited when I went through the difficulties at the last part for virtual box set up with the help from google knowledge.

автор: Ali S

20 дек. 2018 г.

this was a great short course for starters in big data analytics and hadoop. the teachers had an excellent in depth knowledge of their field and they communicated it a very learner and professional manner.

автор: Muhammad U u h Q

17 сент. 2020 г.

very good basic knowledge of big data. really appreciate the good work. you should include more optional exercises and optional prompts about interesting problems and functionalities for curious learners.

автор: Snigdha S

25 мая 2020 г.

I really found the course helpful. The instructors have made lots of efforts to explain each concept. It is designed well for step by step learning, including theoretical as well as practical knowledge.

автор: Albert E

9 авг. 2016 г.

This course allow me to become familiar with Big Data terminology and concepts, big data platforms and related applications. o believe this course this is the fastest way to get into the BIg dATA WORLD.

автор: Vivek V

23 апр. 2020 г.

The course was really amazing and useful. Instructors were very cheerful and proper training examples were included at the end of the course.

Looking forward to continue with the next course in series.

автор: Сазонтов Ю Ю

20 июня 2020 г.

I really liked the training course! Thanks to the creators! The material is presented very clearly, sequentially with examples. Exercises and tests are what you need! A great introduction to big data!

автор: Azar R

31 мар. 2020 г.

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.