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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
10,533 個評分

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+....

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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.

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.

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101 - 大数据导论 的 125 個評論(共 2,418 個)

創建者 Govardhan H K

2016年9月26日

創建者 Beñat G

2020年12月5日

創建者 Nishit J

2022年7月24日

創建者 Soham B

2021年7月29日

創建者 JungHwan B

2017年9月25日

創建者 Sreejith S

2016年7月31日

創建者 Charles, Q L

2017年5月27日

創建者 Kuldeep K S

2020年5月16日

創建者 Dr G N R

2020年6月17日

創建者 Chandan K

2020年1月28日

創建者 Anupama K

2018年6月15日

創建者 Timothy M N

2020年7月22日

創建者 Dinuka M D Z

2018年4月12日

創建者 Maciej K

2020年1月5日

創建者 Rabia N

2019年6月9日

創建者 Ms. S P W

2020年6月7日

創建者 Siddesha S

2020年7月13日

創建者 Martin O

2018年6月1日

創建者 Sarsiz C

2017年3月26日

創建者 Eishita Y

2020年7月16日

創建者 Lukus B

2017年4月15日

創建者 Arihant J

2020年4月22日

創建者 John V

2021年4月6日

創建者 Abhishek k S

2021年6月21日

創建者 Elvismary M d A

2017年7月5日