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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

Оценки: 7,616
Рецензии: 1,811

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


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.


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.

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1576–1600 из 1,752 отзывов о курсе Введение в большие данные

автор: goutham

Mar 16, 2017

good lectures.

автор: Sayak N

Dec 24, 2019

Very helpful.

автор: Suman S

Sep 27, 2018


автор: Saksham S

Aug 06, 2017

Way too easy.

автор: Haroon A

Oct 16, 2016

great so far.

автор: Chintamani B

Dec 21, 2018

Very useful.

автор: Tamás-Marosi P

Sep 05, 2017

It was good.

автор: Anto T

Mar 27, 2017

Great Intro.

автор: Riccardo C

May 26, 2020

Good Start!

автор: nikhil n

Aug 13, 2016

Too Good..

автор: Kristopher H

Jun 22, 2016

Good intro

автор: Srimathi. S

Jun 20, 2020


автор: surbhi P

Jun 04, 2019

liked it.

автор: Tarun T

Jul 30, 2017

Very Good

автор: Monisha M

Jul 06, 2017


автор: NEELJI P

Aug 22, 2018


автор: Sheraz I

Jul 04, 2020


автор: Rishabh T

Jul 03, 2020



May 18, 2020


автор: Arihant S J

Jun 18, 2020


автор: Sumit K

Jun 18, 2020


автор: Tejal C

Jun 09, 2020


автор: Chirag P

May 15, 2020



May 13, 2020


автор: Hyungje W

Oct 31, 2018