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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
10,532 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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251 - 大数据导论 的 275 個評論(共 2,417 個)

創建者 Álvaro D

2020年7月6日

創建者 Sebastian W

2016年8月15日

創建者 Rashad H N

2020年12月20日

創建者 Rahul G

2017年7月14日

創建者 KIVANÇ Ö

2020年9月22日

創建者 Sarah A

2020年8月22日

創建者 Alan P T

2020年7月15日

創建者 HARMANDEEP S H S

2020年6月19日

創建者 Deepak G

2016年8月18日

創建者 Solangaarachchige M

2020年5月2日

創建者 Jonathan J A A

2016年10月9日

創建者 Mohit P L

2020年9月28日

創建者 M A p

2020年6月7日

創建者 Ben S

2018年6月9日

創建者 Kondaveeti S p

2020年8月9日

創建者 Amit G

2021年4月20日

創建者 Renjit K S

2020年6月3日

創建者 Tarun K

2018年2月10日

創建者 Santiago S V

2020年8月24日

創建者 Raghava P

2020年5月3日

創建者 Waqas R

2018年10月27日

創建者 Abhilash A

2017年9月30日

創建者 Sri H Y

2019年2月11日

創建者 John C

2018年7月27日

創建者 IBRAHIM A A

2018年7月9日