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
10,481 個評分
2,452 條評論

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

2019年9月8日

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.

DK

2021年8月11日

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.

篩選依據:

2376 - 大数据导论 的 2400 個評論(共 2,400 個)

創建者 Ray C

2017年10月12日

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 Chris G

2016年10月25日

Last exercise is half the course and took many frustrating hours to install and for me never worked. No support provided by instructors. You are on your own.

創建者 Atsuya K

2017年10月30日

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 Abhi K

2018年7月4日

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 Abhinandan N

2019年5月19日

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 Shubham P

2020年6月21日

THIS COURSE IS COMPLETELY USELESS FOR STUDENTS WITHOUT HIGH END INFRASTRUCTURE AS THEIR ARE NO CLOUD LABS FOR PRACTICING THE IMPLEMENTATION.

創建者 Michele P

2017年1月9日

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 Xuening H

2020年6月5日

Very bad course. The lecturors are not talking in a greenhand-friendly way. I cannot understand anything after I took the entire course.

創建者 Sergiy V

2020年9月27日

this is the worst course I have ever seen. Is it computer science course or phylosophy course???

Waiste of time.

創建者 Luis E G

2020年12月22日

This course is extremely bad on every level. User experience might be one of the worse I've had in my life.

創建者 Sahar N

2020年12月30日

I couldn't boot the VM and they didn't care to help me out an after weeks of studying I had to drop off.

創建者 Hua Z

2017年5月31日

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

創建者 Seth D

2016年8月18日

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

創建者 佟铁

2018年3月6日

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

創建者 Carolay C S

2016年12月11日

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

創建者 Laurent S

2019年2月10日

I have rarely seen a course that is so terrible

創建者 VISHAL G

2020年5月28日

i didnot find it useful and it is too boring

創建者 Anup

2016年10月7日

Language is not good, and Lack of Info

創建者 Darian H

2017年11月17日

The final quiz for Week 3 is broken.

創建者 Wei G

2022年5月8日

There is no certificate. Why?

創建者 Paula N S

2021年3月9日

NO ME DEJA DARME DE BAJA

創建者 Cosmin T

2019年6月4日

very weak presentation

創建者 SURYANSHU

2021年9月13日

thanks ok done

創建者 Roshan K

2017年5月31日

Its too slow

創建者 Jianan D

2017年10月26日

too easy