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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

5,544 個評分
1,332 個審閱


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.


101 - 大数据导论 的 125 個評論(共 1,272 個)

創建者 Stefan M

Mar 21, 2018

very clear and precise instructions and no hassles with the grading of the assigment

創建者 Ajit R G

Apr 14, 2018

Excellent course which expalins all the basics and complete handson for the hadoop.All concepts are very clearly explained.

創建者 Rodrigo C C

Aug 08, 2017

It was great

創建者 Kishan G

Jul 18, 2017

This is an excellent start if your are new to Big Data.

創建者 Nicolas A G

Sep 26, 2016

It is very easy to follow the course. This first course is not complex. As the title says, it is more of an introduction of the world of big data and hadoop. Also, you will learn how to install and run hadoop as well as some very basic functions of MapReduce.

Overall a very good course. As a tip, if you are fluent in english, I would recommend you to run the video x1.5 or x1.75. At the beginning it may be hard, but it will reduce the time that you spend watching video.

創建者 Libardo A A B

Sep 19, 2016

Excelente curso

創建者 Carlo K

Jan 29, 2017

It is very useful. The professors are paced and explain so well.

創建者 Francisco J

Jul 28, 2017

Great content and good resources.

創建者 Uday K

Mar 05, 2017

Good One!!!

創建者 Benjamin S

Jun 09, 2018

Great course. Slides need a lot of work. I had the professor at 1.25 to 1.5 speed cause she talk so slow. Besides the speed of talking...course was awesome!

創建者 Onyeabor, P O

Feb 23, 2018

The course offers a very detailed introduction to Big Data. The teachers and the teaching method employed enhances understanding. I am now confident in my understanding of Big Data management and Big Data systems. I also have a basic understanding of Hadoop and MapReduce. I'm eagerly looking forward to the rest of the courses in the specialisation.

創建者 Federico S

Jan 27, 2018

I'd say it's an excellent first serious approach to Big Data. It has been great to do some hands-on MapReduce exercises

創建者 Mahantha S M V

May 06, 2018

This is very good basic course

創建者 Anne T

Jun 21, 2017

Awesome great introduction

創建者 Enrique A

Jun 23, 2017

Great introduction insights to understand the whole picture

創建者 Aude M

Dec 29, 2017

Really interesting and well made for newbies to understand!

創建者 André L B

Mar 02, 2017

Very good for beginners in Big Data.

創建者 Lokesh J

Jun 22, 2017

Value to money and providing good exposure as i was just beginner so learn a lot.Thanks

創建者 Linh N B

Sep 13, 2017

This course is really great for all student to begin learning about data science.

創建者 Bartosz S

May 05, 2017

Very good, well written course.

創建者 Zahra H

Jan 30, 2017

a very good learning experience. really enjoyed it. thank u for this course especially to the instructors.

創建者 Luis E B S

Apr 10, 2017

Very cool the course!!!!

創建者 amitbhushanbhatt

Mar 15, 2017

Excellent Introduction to Big Data, and Data Science.

創建者 Antony C

Apr 05, 2018

Very nice introduction to Big Data field.

創建者 Daniel S S

Jul 02, 2017

A nice introduction to Big Data, very good!