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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

4.6
5,544 個評分
1,332 個審閱

課程概述

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+....

熱門審閱

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.

篩選依據:

1251 - 大数据导论 的 1272 個評論(共 1,272 個)

創建者 Sean G

Sep 24, 2016

Less useful than reading an introductory chapter. Being able to reiterate acronyms or idiosyncratic mnemonics does not demonstrate any real understanding of this field. The minimal information provided and low level of the instruction at least clarified that this specialization is not worth pursuing.

創建者 Robin B

Sep 24, 2016

Very disappointing. Poorly written quizes and presentations. The level of the course is far too basic to be of value, but is required for the specialization. Why not offer an option to test out of basic introduction courses?

創建者 Darian H

Nov 17, 2017

The final quiz for Week 3 is broken.

創建者 Michele P

Jan 09, 2017

I cannot complete the course due to installations problem of the software required even if I have all the requirements needed on my laptop.

創建者 Dr. L A G

Oct 19, 2016

Too many things I already know and which are quite obvious, when you have some little computer science knowledge, less practical information; the explanations for installing Cloudera etc are insufficient!!!

創建者 Anup

Oct 07, 2016

Language is not good, and Lack of Info

創建者 Carolay C S

Dec 11, 2016

Me estan cobrando el curso y se supone que me salia todo gratis

創建者 Ray C

Oct 12, 2017

The lectures are just not very good. Terms are confused. Just not that good. The material is not difficult at all, it is just the lectures and slides are poor.

創建者 Atsuya K

Oct 30, 2017

Shallow. Perhaps useful for a student of management to skim over, but there is nothing that a student with technical background would gain from this course.

創建者 佟铁

Mar 06, 2018

Sorry, I cant learning all classes. The terrible PPT, rigid teaching methods

創建者 Jianan D

Oct 26, 2017

too easy

創建者 Roshan K

May 31, 2017

Its too slow

創建者 Hua Z

Jun 01, 2017

This course just introduce the basic definition but no practical issues. Useless somewhat

創建者 Abhi K

Jul 04, 2018

Instructors have very good knowledge but courseis very very theoretical with less examples and your subconscious mind is not even listening tovideo.

創建者 Vipin

Aug 28, 2016

Very basic. All this information of this course can be self taught by Googling and the hands on exercise at the end of the course is a joke. For the $59 price of the course, expected more.

創建者 William R

Oct 06, 2016

Honestly, for the price paid, the value given is quite low. I expected to have more hands-on working with the Hadoop ecosystem rather than this course's focus on background that really does not help one to become productive.

創建者 Seth D

Aug 18, 2016

Extremely basic intro, not valuable if you have any understanding of the the space

創建者 Richard C W

Jul 22, 2019

The initial presentation is a bit bloated, naming all the ways big data can be useful could have been 5 minutes. The default configuration of oracle VB and cloudera quickstart did not work for me at all (windows 7 64bit, 32g of ram), I had so many issues that I spent much more time trying to get that to work than I did everything else in this class. Finally, the course at no point mentioned any of the potential social/legal issues of using dig data, just what the value of tracking information. I have done a few certificates from either EDX or Coursera, and this was the worst one.

創建者 Abhinandan N

May 20, 2019

Everything at high level, people have to imagine things to really understand what is being said. Seriously has to work on the deliverable and plan.

創建者 Cosmin T

Jun 04, 2019

very weak presentation

創建者 POOJA Y

Sep 23, 2019

this course is really all about theory. Initially i liked the course but then i realised instructor is just reading a book instead of explaining the topics practically. I wont reccommend this course if you want to learn it practially. I suggest dont buy course in first glance, first go with the audit mode and see if you really liked the content or not.

創建者 Mayank R

Oct 03, 2019

Too much theory, got bored. didn't serve my purpose. I completed some how.