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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
5,554 個評分
1,333 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.

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.

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226 - 大数据导论 的 250 個評論(共 1,273 個)

創建者 Jorge M

May 09, 2017

Great Introduction to Big Data!!

創建者 Paulo R V P

May 02, 2017

Excellent introduction to big data.

創建者 Charles, Q L

May 27, 2017

I highly recommend this course if you want to enter the world of Big Data. So far I have learned what big data is, the process of big data, distributed file systems, MapReduce programme model, Hadoop ecosystems, and more. It is simply a good course!

創建者 Husnain A

Oct 26, 2017

Very well structured

創建者 Luis A R G

Mar 02, 2017

Excelent course about basic knowlegment of Big Data, Exceleent materials and examples. Recomended

創建者 Steven V

Aug 01, 2017

Great intro course. The first 2 weeks move a bit slowly, but the final week of courses were very insightful.

創建者 Amol G

Oct 09, 2017

Lots of new information for beginners -> structured, delivered in clear speech, appropriate graphics

創建者 Robert R

Jan 04, 2018

Excellent introduction to the Big Data landscape!

創建者 Leonardo R d A

Jul 10, 2017

An excellent introductory course on Big Data addressing its application in current and practical subjects, with a good method of evaluation besides providing the necessary tools to apply all the theoretical content in practice.

創建者 Matheus G L

Jul 20, 2016

Good content, good teacher. Maybe should have a little more hands on assignments, but it is an excellent introduction to the topic!

創建者 Anand G

Apr 06, 2017

Great introduction to Big Data. so far best i have seen.

創建者 Shantanu P

Dec 19, 2016

I learnt many things about Big Data. Now at least I have some basic foundation in it.

創建者 Eduardo A

May 25, 2017

The first course in Big Data Specialization, You must need to know the basics but it's very practical and simple to get inside Big Data

創建者 Hongyang Y

Feb 07, 2018

神课!

創建者 Luis E R

Sep 16, 2016

Great introduction

Clear and consice.

創建者 Govardhan H

Sep 26, 2016

I would like to enroll many such courses . Excellent Teaching . Thanks to teachers who spent their precious time in preparing slides and delivering quality teaching.. Hats off to Coursera. I recommend my friends too , to enroll such a wonderful course.

創建者 Thuong D H

Sep 23, 2016

Good course

創建者 Anup K M

Apr 22, 2018

very good

創建者 Venkata S P

Dec 11, 2016

Excellent course. Very good foundation.

創建者 Ismael F M

Oct 04, 2016

It is a great introduction to big data world

創建者 anupam b

Jun 11, 2017

Gives a great start to delving into the area of data science.

創建者 Davide M

Mar 19, 2018

good introduction to big data ideas and MapReduce concepts

創建者 Prabir B

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.

Very smooth learning experience.

創建者 Edgar R E B

Jun 20, 2017

Excelent.

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