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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:

1951–1975 из 2,195 отзывов о курсе Введение в большие данные

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

автор: Dũng T N

8 июля 2020 г.

Need more examples

автор: kawaldeep

15 февр. 2020 г.

it was very basic.

автор: Hosna A B

16 янв. 2020 г.

course was lengthy

автор: Jackson M

29 янв. 2018 г.

Good introduction.

автор: Remco W

30 июня 2017 г.

Great introduction

автор: Jorge A V C

17 окт. 2020 г.

Was a good course

автор: Dong D P

15 мар. 2017 г.

Good for beginner

автор: Hector J D

5 февр. 2017 г.

Good Introduction

автор: Jean-Francois B

24 сент. 2020 г.

Very interesting

автор: Harpreet K G

13 сент. 2020 г.

very informative

автор: Lavanya S B

20 мая 2020 г.

more informative

автор: ahmed s

6 апр. 2020 г.

good inforamtion

автор: Navneet K D

25 мар. 2019 г.

Very Theoretical

автор: Gitesh W

13 февр. 2019 г.

very nice course

автор: Rafael U

3 сент. 2017 г.

Excelent course!

автор: Stark

13 окт. 2016 г.

Very basic info.

автор: vaishnavi S M

17 сент. 2020 г.

it is excellent

автор: Sorgo W C

30 мая 2020 г.

EXELLENTS COURS

автор: touzani y

24 июня 2019 г.

Excelent course

автор: piyush t

6 дек. 2018 г.

too much theory

автор: Ivan A

19 июня 2018 г.

Too much theory

автор: Jerome T B

22 февр. 2021 г.

c'etais wahouu