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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

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：

1651 - Introduction to Big Data 的 1675 个评论（共 2,500 个）

创建者 Karthik B

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Aug 30, 2016

Excellent

创建者 Pedro D

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Aug 11, 2016

Excelente

创建者 Jhonatan D S

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Jul 31, 2023

Excelent

创建者 Paula X S L

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May 10, 2022

ok super

创建者 Manjushree r k

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Nov 21, 2021

its good

创建者 Yassine A R

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Jun 9, 2020

helpfull

创建者 Desu G S S

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Jun 7, 2020

Too good

创建者 SHAKTHI S

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May 30, 2020

Well gud

创建者 novan z

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Aug 22, 2019

The Best

创建者 subash k p

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Jun 5, 2017

Xcellent

创建者 Ravi R

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Mar 26, 2017

good one

创建者 Frank C

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Dec 21, 2016

Perfect!

创建者 MANISA D

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Nov 21, 2025

Good 👍

创建者 Getalew C

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Jan 27, 2022

perfect

创建者 Mulilkin D

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Jan 27, 2021

Userful

创建者 ADALBER C L

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Sep 26, 2020

Gracias

创建者 Flt L G R

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Jun 10, 2020

THANKS.

创建者 Shubhayu C

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Jun 4, 2020

amazing

创建者 Zakaria E

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May 21, 2020

awesome

创建者 Arash R

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Feb 28, 2020

Awesome

创建者 Chetan N

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May 26, 2019

AMAZING

创建者 Sakshi S

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Jan 19, 2018

awesome

创建者 Amith S M

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Feb 8, 2017

Amazing

创建者 seelammal

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Jan 7, 2022

useful

创建者 Нуржан О

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Oct 9, 2021

лучший