Chevron Left
返回到 大数据导论

学生对 加州大学圣地亚哥分校 提供的 大数据导论 的评价和反馈

4.6
10,530 个评分

课程概述

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+....

热门审阅

DK

Aug 11, 2021

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.

HM

Sep 8, 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.

筛选依据:

2226 - 大数据导论 的 2250 个评论(共 2,415 个)

创建者 Juan P

Jul 16, 2016

创建者 Tomáš V

Sep 2, 2022

创建者 Kjell L

Aug 25, 2016

创建者 CHU T K

Jun 1, 2019

创建者 Foram K P

Nov 7, 2018

创建者 Erik P

Sep 19, 2017

创建者 Robert S

Dec 6, 2017

创建者 Jeffery Y

Aug 23, 2017

创建者 Fidel R

Dec 26, 2020

创建者 Tamalika M

Nov 18, 2016

创建者 David T

Oct 28, 2016

创建者 Philippe H

May 28, 2017

创建者 Madhura B

Aug 19, 2017

创建者 Emily V

Mar 4, 2019

创建者 Matt S

Jan 27, 2017

创建者 Edwin J A A

Oct 9, 2021

创建者 Sudipta m

Aug 9, 2017

创建者 Rebecca C

Jan 9, 2017

创建者 Jefferson B

Aug 27, 2019

创建者 Наталия В О

Jul 15, 2020

创建者 Jorge L

Aug 29, 2016

创建者 Palash V S

Oct 23, 2017

创建者 ABHISHEK D

May 4, 2020

创建者 Miriam F

Aug 10, 2017

创建者 María C

Oct 21, 2020