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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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10,969 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.

JT

Aug 30, 2016

This is a great introduction for Big Data. It helps me to revisit what I learned from the meetups and webinars, then put the fundamental knowledge and information in a solid foundation. Thank you.

筛选依据：

526 - Introduction to Big Data 的 550 个评论（共 2,498 个）

创建者 Charuka A

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Aug 13, 2020

Very Simple explanations. Easy to understand. Highly recommended for a beginner for Big Data.

创建者 Varun V

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Mar 21, 2018

Awesome instructors! They provide the in depth knowledge. I am happy that i took this course.

创建者 Jose L R

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Feb 5, 2018

Interesting and useful course. It gives a good introduction to understand Big Data's begging.

创建者 Divine E

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Jul 5, 2017

I've done other big data introduction basis but this one nailed it. With hands on experience.

创建者 Elena D

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Jan 10, 2017

Comprehensive introduction to Big Data and Hadoop. Great and simple explanation of MapReduce.

创建者 Stefan S

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May 15, 2022

Thousand thanks for Ilkay Altintas, thanks for Amarnath Gupta and for the SDSC. Best regards

创建者 James H

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Jun 29, 2020

This is suitable for beginner, and especially the clearly explains the fundamental knowledge

创建者 Kudzai M M

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Mar 20, 2020

I loved the course. It ignited the love for data analysis in me! Much like solving a puzzle.

创建者 José A B S

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Apr 19, 2019

Bune curso de los elementos basícos de bigdata así como el uso de las principales variables.

创建者 saumya m

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Jun 4, 2017

very good and informative. course will let you open up your arms in the area of data science

创建者 Muhammad I A

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Mar 27, 2017

A BIG start with Big Data by understanding fundamentals and hands on experience with hadoop.

创建者 Dr. V R P

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Sep 7, 2020

Very good sessions conducted by course era and help full for my carrier.Thank you very much

创建者 guddu m

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Jul 31, 2020

this is a good introductory course for big data, with less no of hrs. and precise teaching.

创建者 Shalini S

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Jun 14, 2020

It was a great introductory course and also I got some basic knowledge in Hadoop ecosystem.

创建者 Eduardo P L

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Jul 23, 2017

Very good introductory training.

Hope next courses in the program to be as good as this one.

创建者 Shweta S

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Jul 17, 2017

Great course! The teachers taught extremely well and made the learning process interesting.

创建者 arnold8968

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Mar 28, 2017

introduce the Hadoop framework, the data structure, and the characteristics of Big Data etc

创建者 Devendran M

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Nov 14, 2020

Thoughtful way of guiding the novices into Bigdata. Like the way the course is organised.

创建者 张炅焱

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Nov 8, 2020

Excellent job for introducing basic ideas about Big Data and some practical use of Hadoop.

创建者 PRAVEEN K

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Oct 13, 2020

thanks coursera..it was quite a good learning experience,hope to learn more from coursera.

创建者 Miguel M P

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Aug 22, 2020

The only thing i don't like is the autocalification of the students the are many trolls...

创建者 Aravind R L

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Jun 1, 2020

Excellent to course to understand Big Data and relevance with IIOT, Data Science and Cloud

创建者 Olga S

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Apr 12, 2020

Great course. He gives excellent theoretical and practical skills. I recommend for passing

创建者 Mohamed S

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Apr 4, 2019

I have benefited greatly from this course, which is a powerful start to the big data field

创建者 Maria O

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Feb 5, 2017

Excelente!! Muy buen curso, como está enfocado y los temas que cubre. Ejemplos muy claros.