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
10,654 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

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.

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.

筛选依据:

1 - 大数据导论 的 25 个评论(共 2,437 个)

创建者 Deleted A

May 10, 2022

创建者 Isara A

Oct 4, 2018

创建者 Abdul K

Sep 27, 2016

创建者 Rakesh G

Jul 14, 2017

创建者 Prabir B

May 25, 2018

创建者 Catherine B

Nov 8, 2018

创建者 Patricia p

Nov 7, 2018

创建者 hatem m

Sep 9, 2019

创建者 Raivis J

Feb 5, 2019

创建者 Tarif B

Feb 23, 2020

创建者 Hendrik B

Dec 1, 2017

创建者 Alexandra H K

Apr 9, 2017

创建者 Rongon C

May 14, 2019

创建者 Guy D

Feb 6, 2021

创建者 Sean G

Sep 24, 2016

创建者 Ahmed K A A

Jun 9, 2019

创建者 Brian S

May 9, 2022

创建者 Pranav V

Mar 7, 2019

创建者 Mayank R

Oct 3, 2019

创建者 Nikhil C

Jul 12, 2020

创建者 Prateek M

May 25, 2020

创建者 Rukshan M

Jan 31, 2019

创建者 Luis A R

Oct 13, 2018

创建者 Dewan K

Aug 11, 2021

创建者 Azar R

Mar 31, 2020