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学生对 University of California San Diego 提供的 Introduction to Big Data 的评价和反馈

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10,975 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

SS

Sep 14, 2019

It is a comprehensive introduction to big data which covers significant components with enough content that can be absorb at this stage. A very good kick-start and excited for the next course ahead.

AR

Mar 30, 2020

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.

筛选依据：

551 - Introduction to Big Data 的 575 个评论（共 2,498 个）

创建者 Jyothi K

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Dec 29, 2016

thanks for instructors this course helped me to understand what exactly bib data modules

创建者 Lahiru S

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Aug 5, 2021

So clear to understand and gave a wide introduction and familiarization to the Big Data.

创建者 Laura R

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Jul 24, 2020

All information is useful. The material is presented in a clear and comprehensible manner

创建者 Shrajna S

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May 10, 2020

This course gave me a thorough insight into Big Data with a few hands-on implementations.

创建者 RUDRAKSH S

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Apr 9, 2020

Got to known about Big Data and it's applications in our daily life. Wonderful trainers.

创建者 Ashok K

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May 16, 2019

Awesome learning experience and added great value to my knowledge, thank you so very much

创建者 Yash V

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Jun 19, 2017

Awesome teachers and a well rounded course curriculum to step in to the world of Big data

创建者 Vihang P

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Nov 21, 2016

Kindler Gentler introduction to Big Data Concepts and Hadoop hands on exercise was great!

创建者 Zubair s

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Aug 13, 2016

I love this course its worth for a basic and freshers learning

Thanks Coursera for this...

创建者 Cesar A L R

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Jun 17, 2022

Very informative and you really know that instructors knows and understands their craft.

创建者 Syed M W I

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Jul 14, 2021

It was awesome learning and huge gain of knowledge about Big data and its classification

创建者 David J

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Jun 28, 2021

Outdated instructions for downloading and installation of software. Informative course.

创建者 Marcus V C A

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Mar 10, 2021

This is as introdutory course. But it is very useful to provide an overview of Big Data.

创建者 kaan g

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May 7, 2020

Really good that is prepared. I suggest for person who would like to introduce big data.

创建者 Majji H

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Jul 29, 2019

This would be purely useful to beginners who would like to start the course from scratch

创建者 Sumukh N

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Apr 3, 2021

Both the teachers were good, perfect for those who want to start Big data from scratch.

创建者 Elisabeth G

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Sep 1, 2020

It is a simple course for beginner like me to understand Big Data and it's application.

创建者 Okan E

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Jul 19, 2020

This course is very informative. The Lecturer explains everything clearly and detailed.

创建者 Modali G K

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Jun 6, 2020

really this course was very useful to build my basics of big data and its methodologies

创建者 PEDRO P V

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Nov 21, 2019

Perfect for people like me that is not familiar yet with those new technologies.

Thanks

创建者 Edgar G H

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Dec 2, 2018

Great to get a general Idea on what Big Data means and what are the general uses of it.

创建者 Marcos R

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Sep 23, 2018

Good course, however, a bit difficult for the ones who are not used to this framewoork.

创建者 Abhijeet K

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Jan 27, 2018

Great way of teaching ...personalised learning....looking for more courses with them...

创建者 Ashish J

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Aug 17, 2017

It was nice to get some basic understanding and run some hadoop commands. I enjoyed it.

创建者 Lokesh J

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Jun 22, 2017

Value to money and providing good exposure as i was just beginner so learn a lot.Thanks