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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
звезд
Оценки: 9,596
Рецензии: 2,262

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:

1901–1925 из 2,195 отзывов о курсе Введение в большие данные

автор: Stefano C

7 нояб. 2016 г.

Fun and passion. Expectations met.

автор: YASH M

11 апр. 2021 г.

Excellent course!! Learned a Lot.

автор: Eklavya S

14 мар. 2018 г.

A must for building foundations .

автор: vasudha m

1 окт. 2017 г.

The Hands on exercises were good.

автор: Dr. A C

24 апр. 2017 г.

Highly Knowledgeable & learning.

автор: saurav k

21 янв. 2020 г.

content could have been better.

автор: Reyad N E

16 мар. 2019 г.

it's awesome course you'll take

автор: sujay b s

16 авг. 2016 г.

Good work! Thanks for educating

автор: Krutika B

10 окт. 2020 г.

nice , cob=vered all the basic

автор: Harsh O

28 июля 2018 г.

The course was up to the mark.

автор: Andrés F

10 окт. 2016 г.

Very very introductory course.

автор: Sowjanya N

9 июля 2020 г.

Had great learning experience

автор: sudhanshu p

8 апр. 2019 г.

It went slow but worth taking

автор: Mehul P

30 дек. 2017 г.

Nice overview to get into it.

автор: Pavan S K G

21 авг. 2020 г.

Good for absolute beginners.

автор: Md R I

11 июня 2018 г.

This is an excellent course.

автор: John F

10 авг. 2020 г.

Good intro to the concepts.

автор: Wasif I

25 июля 2020 г.

Best course for Big Data!!!

автор: Akshay U

27 мая 2018 г.

very high overview but good

автор: paras m

22 апр. 2017 г.

great course for a beginner

автор: Lakshay

22 сент. 2020 г.

Its a bit old. But works !

автор: TUSHAR G

27 июля 2020 г.

QUITE GOOD FOR THE FRESHER

автор: Mona Y

20 мая 2020 г.

The slides can be improved

автор: sandy

5 мая 2020 г.

good for learning big data

автор: Gowtham S

4 янв. 2019 г.

Nice course . very useful.