Chevron Left
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
5,073 個評分
1,247 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

PB

May 25, 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

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:

1 - 大数据导论 的 25 個評論(共 1,201 個)

創建者 Isara A

Oct 05, 2018

I think the course could be shorten by half. The instructors extended the course into 3 weeks, but I think the real meat can fit into just 2 weeks. They use too many examples and several similar case studies to make the same points about why big data is important and beneficial -- repeatedly.

I know why it is important, that's why I took the course! Just give a few mins intro and move on already.

They even have a session discussing why should learn basic tools and theory and have a quiz about that; A quiz about why should you learn how to add and subtract before using a calculator. They can just explain once and people would understand.

Anyhow, I feel like I learned quite a lot, but those I can do my reading just first chapter of big data book or watch 1-2 YouTube tutorials.

Should not waste so many hours watching the course.

創建者 Abdul K

Sep 27, 2016

The course provided almost no value , and there was almost nothing covered that you couldn't find online for free. The presentation was probably the worst part of the course: It was extremely boring and made it hard to get through the videos.

I didn't expect much practical parts in the course, but there was even less than what I expected: What was described as setting up a hadoop cluster consisted of downloading a preconfigured VM image and running it, and then typing in a couple of commands that were provided to you. Again, nothing of value was added, and quickly going over the FAQ page of any of the products mentioned would be more helpful, faster and a lot more interesting.

創建者 Rongon C

May 14, 2019

Perfect for starters!

創建者 Matthew L M

May 11, 2019

Good intro that also helped me understand some of my previous assumptions

創建者 Pranav V

Mar 07, 2019

This was absolutely useless. Lots of definitions with no motivation. The one saving grace is that the slides are comprehensive.

創建者 Raivis J

Feb 05, 2019

The general concepts of big data (week 1 and week 2) seemed a bit drawn out, much of the same was repeated over and over again. This was not necessary. The peer-graded assignment needs more detailed instructions - like mentioning that it is ok to resize the fields, and that shapes need to be copy/pasted as much as needed.

創建者 Catherine B

Nov 08, 2018

Very interesting course. Explained concepts I'd heard of but didn't really know about. It is a foundation course for a specialization, it's not enough by itself but very good as a foundation course.

創建者 Patricia P

Nov 07, 2018

The intro part is too long. You will not start with the practice till the end of next week and I find that the lectures and videos by then are a lot less complete even when the content is harder. I would have prefer is the theoretical part was shorter and there was more support when we start learning about hadoop

創建者 Hendrik B

Dec 01, 2017

I have participated in better courses on Coursera. I think the power point presentations are very very ugly. The colors really don't match well. This could be a lot more visually appealing. Also, for self learners, a bit more text would be cool, even though I know that not having too much text, but rather pictures, is beneficial. The presenter could speak a bit more natural. At the moment, it is very obvious that she reads text aloud. Also, there need to be some more FAQs in the practical parts, because there can be quite a few problems when trying to run mapreduce. I was only able to do it using Google, because I also had to install another hadoop version (5.12.) because my Intel Chipset was not compatible with the version you wanted me to download. There, the file path to map reduce was different from the example you proviided. To be honest, I did not check the Discussion Forums because I was not aware there were any. Maybe I could have gotten help there.

創建者 Tarun K

Jun 13, 2019

the course is in detailed and structured. I will recommend this course to the other beginners. It helps me a lot in understanding big data concepts from the scratch. Thank you to my trainer and Coursera team. I'm highly obliged

創建者 Aldrin

Jun 11, 2019

Very good Course to getting started on Big data and Hadoop basic.

創建者 Ahmed K A A

Jun 09, 2019

This course gives a basic view for Big data Analysis through introducing much information in the subject "much theoretically at the beginning and then become more piratical using basics of Hadoop program"

Merits:

excellent overview of the Big Data's concepts

gradual teaching techniques

having flexible time viewing the vids

Needs of improvements

Quiz need to stick on learning objectives (for example: instead of asking about Amazon or other companies practices in some area (which was included as an example), questions need to be practical on other non-mentioned companies.

The course has a deadline (one week after the week 3) it should be extended more

some videos are not directed to the point and much details are asked in the quiz

Some IT concepts need to be explain more (like in the last videos) because for me I'm ZERO IT experience

I had a good overview for the topic because I'm applying myself for Master in Big Data without having a single IT background

創建者 Rabia N

Jun 09, 2019

Being totally novice in the subject matter, i found this course informative. However, slides could have been better and i would prefer content that is not available on you tube free of cost as many students would have paid to enroll this course.

創建者 Suraj J W

Jun 09, 2019

Over all nice course. It should have more hands on.

創建者 Sandeep D

Jun 07, 2019

The course majorly teaches you the importance of big data in first 2 weeks. 3rd week, it gives you good brief of big data tools and technology. Good course for foundations.

創建者 Pasawat S

Jun 06, 2019

very useful course

創建者 surbhi P

Jun 04, 2019

liked it.

創建者 Cosmin T

Jun 04, 2019

very weak presentation

創建者 朱梓勤

Jun 01, 2019

Really difficult to understand for the new hand who don't knowledge the knowledge about programming, computer science, etc.

One of the difficulty is the many technique words. I suggest that providing the animation video to present some concept such as MapReduce should be more understandable.

However, after this lesson I can have a foundation perception in Big Data. Thanks for the Coursera, the University and course lecturers.

創建者 Hamad A

May 31, 2019

Very good for people who needs an introduction and with no background on deep technical knowledge of data and computers.

創建者 Philipp B

May 31, 2019

Great introduction to big data. Good struture and well explained

創建者 Sekhar T

May 30, 2019

Great beginner course for Big Data. Should not be skipped or neglected this course at all. It help me to understand why big data technology need and it's the future.

創建者 ALICE D

May 28, 2019

Very interesting and easy to understand thanks to the variety o

創建者 CHETAN N

May 26, 2019

AMAZING

創建者 Aravindsagar P A

May 26, 2019

Good course to know the concepts