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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: 9,574
Рецензии: 2,259

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:

1926–1950 из 2,191 отзывов о курсе Введение в большие данные

автор: Oleksandr L

25 мар. 2018 г.

Good overview for as a st

автор: Franklin D L C

9 окт. 2017 г.

Very Informative course!!

автор: Sujith K V

9 мар. 2017 г.

Good Starter for Big Data

автор: Danny A A

7 нояб. 2020 г.

Very interesting, thanks

автор: Rajendra O

24 янв. 2017 г.

Nice to get this course.

автор: Vivek K S

29 сент. 2016 г.

excellent for beginneres

автор: DEEP S

19 сент. 2020 г.

Very interesting course

автор: Vishwas H

25 июня 2020 г.

Good start to Big Data!

автор: Yashwant J

24 мая 2020 г.

Great intro to BIg Data

автор: kimizhu

14 мая 2017 г.

it great to start with.

автор: Indunil D

18 янв. 2017 г.

very good introduction.

автор: Osvaldo D

16 дек. 2020 г.

A very nice beginning!

автор: Minhaz K

15 июня 2020 г.

slides could be better

автор: Daniyal S

25 мая 2020 г.

it was best Experience

автор: David G L

16 мар. 2020 г.

I liked this course =)

автор: Jurassic

13 окт. 2017 г.

Interesting Background

автор: Khinnyeinmyint

9 авг. 2020 г.

I get good knowledge.

автор: Shraddha s

12 окт. 2020 г.

yes...i loved it....

автор: Mohith

14 мая 2020 г.

good & easy to learn

автор: Abel G

20 мая 2017 г.

I liked the approach

автор: mario p

25 сент. 2016 г.

A great introduction

автор: Benjamin T

24 янв. 2021 г.

nice interpretation

автор: ILyas z

18 мая 2020 г.

full of information

автор: Maneesh C

4 янв. 2021 г.

Really good course

автор: Srenivas.T

30 сент. 2020 г.

Good for beginners