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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,308개의 평가
1,295개의 리뷰

강좌 소개

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+....

최상위 리뷰

RG

Jul 14, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

PB

May 25, 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

필터링 기준:

Introduction to Big Data의 1,236개 리뷰 중 26~50

교육 기관: Montaser A S

Jan 16, 2019

It is a very good course as a fundamental we must know , thank you very much

교육 기관: keihan k

Jan 02, 2019

awesome!!

교육 기관: Bradley T D

Jan 04, 2019

Great intro, nicely updated from the 2015 edition.

교육 기관: Guilherme S

Jan 04, 2019

Excellent course.

교육 기관: Ranjeet R R

Jan 22, 2019

explanation is very good

교육 기관: Ilya P

Jan 24, 2019

Great course for those who just start understanding Big Data and Data Science.

교육 기관: Jorge d l C

Feb 07, 2019

Great!! Love your lessons

교육 기관: Eric E V S

Feb 20, 2019

It was a nice introduction to the subject. The last quiz was pretty lame though.

교육 기관: Vidula A

Feb 20, 2019

Excellent Course

교육 기관: Jean ( G

Feb 23, 2019

Really clear and practical to continue into this program.

교육 기관: Ahmed R

Mar 21, 2019

Recommended to my colleagues in my department.

교육 기관: Jennifer J

Feb 28, 2019

very good course !

교육 기관: Ahmad A

Feb 28, 2019

Thank You Coursera

교육 기관: harissaeed

Mar 23, 2019

great experience

교육 기관: CHANDAN K

Mar 01, 2019

Nicey introduced to

교육 기관: vincent

Mar 03, 2019

The best introduction course I had so far. Now I know the big picture about big data

교육 기관: Eder M A R

Mar 25, 2019

Good course to learn introduction terms.

교육 기관: Satwinder S

Mar 28, 2019

A very good informative course.

All the Basics concepts are represented very well. Like this course too much.

교육 기관: anuj k a

Feb 09, 2019

fantastic course to get interest and overview in big data technologies

교육 기관: Vikas G

Jan 28, 2019

Concise and Informative course! Excellent course material and teachers.

교육 기관: Manorathna A R P M

Jan 31, 2019

I have learnt the new Big Data Concepts & modern technology that is used to unlock the value of massive data sets. This course has ignited my curiosity & interest in learning more about the Big Data technologies. I received the financial assistance to complete the course & earn a verified certificate for this course. Thank you Ilkay Altintas & Amarnath Gupta who are the instructors in this course. They organized & taught the course materials well so that even the new learners can understand. Thank you Coursera for giving me financial assistance to complete the course.

교육 기관: Chin C L

Jan 31, 2019

The course is pretty good. It help me to understand some basic of Big Data and Hadoop.

교육 기관:

Feb 12, 2019

This course does not only introduce me to Big Data concept but also change my perspective in Big Data. Well done.

교육 기관: Durgesh J

Feb 11, 2019

A highly user friendly course that teaches the concepts in a way that anyone can easily understand.

교육 기관: Sri H Y

Feb 12, 2019

Excellent explanation with examples. I however think this course is like 4 years old to date and needs to include any recent changes in big data scope