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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: 6,772
Рецензии: 1,620

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

Sep 09, 2019

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

Jul 14, 2017

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:

1351–1375 из 1,565 отзывов о курсе Введение в большие данные

автор: Víctor C N

Aug 01, 2018

Should have more hands-on practice.

автор: Shahzaib A

Aug 11, 2016

Great course with great instructors

автор: Gourav

Apr 23, 2018

It was a good introduction course.

автор: Manuel F

Apr 03, 2018

Very easy concepts but very well e

автор: Mohammed E

Sep 20, 2017

Amazing Introduction to Big Data .

автор: Stefano C

Nov 07, 2016

Fun and passion. Expectations met.

автор: Eklavya s

Mar 14, 2018

A must for building foundations .

автор: Vasudha C

Oct 01, 2017

The Hands on exercises were good.

автор: Dr. A C

Apr 24, 2017

Highly Knowledgeable & learning.

автор: Saurav K

Jan 21, 2020

content could have been better.

автор: Reyad N E

Mar 16, 2019

it's awesome course you'll take

автор: sujay b s

Aug 17, 2016

Good work! Thanks for educating

автор: Harsh O

Jul 28, 2018

The course was up to the mark.

автор: Andrés F

Oct 10, 2016

Very very introductory course.

автор: sudhanshu p

Apr 08, 2019

It went slow but worth taking

автор: Mehul P

Dec 31, 2017

Nice overview to get into it.

автор: Md. R I

Jun 11, 2018

This is an excellent course.

автор: Akshay U

May 28, 2018

very high overview but good

автор: Paras M

Apr 22, 2017

great course for a beginner

автор: Mona Y

May 20, 2020

The slides can be improved

автор: sandy

May 05, 2020

good for learning big data

автор: S. G

Jan 04, 2019

Nice course . very useful.

автор: Jun S K

Oct 23, 2018

Very nice to learn Hadoop.

автор: Narayanan V B

Aug 09, 2016

Nice course for a starter.

автор: Oleksandr L

Mar 25, 2018

Good overview for as a st