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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,926개의 평가
1,418개의 리뷰

강좌 소개

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+....

최상위 리뷰

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.

필터링 기준:

Introduction to Big Data의 1,362개 리뷰 중 1301~1325

교육 기관: Bhawna B

Aug 23, 2017

need to give more assignments

교육 기관: Alexander H

Nov 10, 2018

More hands on would be good

교육 기관: YongDeuk C

Nov 21, 2016

it's too much basic stuffs.

교육 기관: Alvaro M

Sep 18, 2017

Booooooooorinnnnggggg

교육 기관: Irfan S

Sep 11, 2017

Its very basic course

교육 기관: Shivraj J

Dec 19, 2016

Basic info covered.

교육 기관: Roman N

Nov 04, 2016

too philosophical

교육 기관: Jordi S C

Jan 08, 2019

Very theoretical

교육 기관: Alex B

Feb 19, 2017

Quite shallow...

교육 기관: Ravi

Nov 14, 2017

Lot of talking.

교육 기관: Deleted A

Mar 17, 2017

Not good enough

교육 기관: Lakshmi P

Oct 06, 2017

Good overview

교육 기관: Manoj S

Oct 29, 2017

Pretty basic

교육 기관: Sanjay

May 12, 2018

nice one

교육 기관: Safoora

Feb 06, 2018

Good st

교육 기관: Petter B

Aug 08, 2016

The content of the course is ok. The main problem is that the way the information is presented. Ilkay Altintas, who is the main lecturer, is a sweet woman, but lecturing from a manuscript is not her strongest side. It is clear that she is reading from a screen while she is looking into the camera. Anyone could do that job, and they should have chosen more of an "news anchor" type of person with better pronunciation and more flow. It's simply very uninspiring and boring to listen to. Also, 59 dollars is far too expensive for such a short course.

교육 기관: Michał S

Jan 06, 2017

It covers theoretical part of "What big data is" and basic info about Hadoop. Quality of presentation slides is below average. Most of them are not readable - many fonts, many colors, some with complicated pictures, some with no information at all. Part with Map reduce is just slightly touched, not explained in details, without examples. Practical tasks from hadoop are very easy and they show nothing (just how to navigate over hadoop file system.

교육 기관: Evženie T

Apr 05, 2018

The basic concepts were mentioned but not explained deeply enough, so I was mostly memorizing rather than understanding. The presentation was boring, and the tests did not really test anyone's understanding of the subject matter but rather if one memorized correctly the information from the videos. I would recommend finding a more engaging course.

교육 기관: Jochen D K

Sep 27, 2017

No clear guideline of how to use Cloudera proparly. Some functionalities you need to complete the final weren't even mentioned during the lectures! It took me several hours to find useful information about it online.

교육 기관: Robert H

Sep 09, 2017

Tedious exercises through VM where instructions oftentimes do not work out of the box. It is a hassle to download the slides in small sets and their design awful. Definitely one of the worse courses I have taken.

교육 기관: Lourens A

Oct 25, 2019

There is a lot of terms that is not needed, the presentation of the course does not inspire to want to know more and is very one tone. If you know a bit about data and some concepts you do not really learn a lot

교육 기관: Chris R

Feb 20, 2020

The material was pretty out-dated and extremely basic. Given the technical nature of the later courses, this material would only be useful for people are incapable of finishing the specialization.

교육 기관: César G M

Jul 16, 2017

I guess I shouldn't be pissed at an 'Introduction' course to be too basic, but still... It's completely skippable, even if you don't know anything about big data.

교육 기관: Pavindu L

Dec 27, 2018

This is more focused on theory than practical experience.Its better to shorten the video duration so that it will not be boring to listen to lectures.

교육 기관: Matthew W

Sep 30, 2018

Would have been fine as a 1 week introduction to the material but as a stand alone course was insufficient.