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返回到 大数据导论

學生對 加州大学圣地亚哥分校 提供的 大数据导论 的評價和反饋

5,790 個評分
1,382 條評論


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+....



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.


1251 - 大数据导论 的 1275 個評論(共 1,325 個)

創建者 eyal

Feb 28, 2018

To my opinion, the intro course should be shorter and faster.

創建者 Punukolu B C

Aug 16, 2016

Introductory Level Course.Nothing much on analytical methods.

創建者 Miguel G

Jan 10, 2018

Very good material but, in my opinion, too many seminars :)

創建者 Rahul P

Jun 30, 2019

The assignments and the quizes seemed pretty shallow...

創建者 Haochuan W

Oct 23, 2018

Watch out for trolls in the peer grading assignments..


Nov 28, 2018

to many high level concepts but lack of real examples

創建者 Manuel

Dec 17, 2017

Too generic and high-level, not a lot of learning

創建者 Yajuvendra P

Mar 09, 2017

No technical support is provided for VM issues.

創建者 Congcong Z

Oct 26, 2017

well explained landscape of data science

創建者 Maria G

Feb 16, 2017

Solo videos con conceptos. Poco Hands-on

創建者 Daniel A D

Apr 08, 2018

Good information but not very hands-on.

創建者 Camilo P T

Nov 29, 2018

basico y sencillo. Ideal para iniciar

創建者 Sergii S

Jul 12, 2017

it is so simple, but informative

創建者 Franciszek G

Oct 22, 2018

Too little technical aspects.

創建者 Bhawna B

Aug 23, 2017

need to give more assignments

創建者 Alexander H

Nov 10, 2018

More hands on would be good

創建者 YongDeuk C

Nov 21, 2016

it's too much basic stuffs.

創建者 Alvaro M

Sep 18, 2017


創建者 Irfan S

Sep 11, 2017

Its very basic course

創建者 Shivraj J

Dec 19, 2016

Basic info covered.

創建者 Roman N

Nov 04, 2016

too philosophical

創建者 Jordi S C

Jan 08, 2019

Very theoretical

創建者 Alex B

Feb 19, 2017

Quite shallow...

創建者 Ravi

Nov 14, 2017

Lot of talking.

創建者 Deleted A

Mar 17, 2017

Not good enough