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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,631개의 평가
1,345개의 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

HM

Sep 09, 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.

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 1,285개 리뷰 중 26~50

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: Seshu

Jan 31, 2019

Good basics about Big Data and Hadoop

교육 기관: Anuj P S

Feb 03, 2019

Great information covered all the topics from basics to advanced

교육 기관: Amal J

Feb 05, 2019

Well structured with relevant examples to explain the concepts better.

교육 기관: Ranju M

Nov 20, 2018

This is really an awesome course. I thoroughly enjoyed.

교육 기관: Benniah S D S

Nov 08, 2018

A great introduction into the Big Data world.

교육 기관: Claire_zyy

Nov 23, 2018

Help me have a better understanding of big data indeed.Thank you so much

교육 기관: Duc D

Nov 24, 2018

The introduction content of Big Data is very good.

교육 기관: Lucas R P

Nov 28, 2018

Very good course!

교육 기관: Mary G

Nov 14, 2018

Excellent course. Very helpful in introducing Big Data concepts and Hadoop

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: Monzer N

Jan 07, 2019

Useful introduction thank you

교육 기관: Fernando M

Jan 07, 2019

Great to understand and practice basic concepts

교육 기관: Simon L

Jan 19, 2019

A great introduction to Big Data with a funny MapReduce exercise (for beginners).

교육 기관: poojitha

Jan 19, 2019

The introduction to basic concepts was really helpful for a begginer.

교육 기관: Neha R

Jan 09, 2019

A must to start with course for beginners

교육 기관: Alonso S

Jan 21, 2019

Great introduction to the topic. Look forward to more hands on, technical skill building in the next chapters.

교육 기관: Mathew A

Jan 21, 2019

Fantastic course, gets you started on Big Data !

교육 기관: Panagiotis T

Jan 09, 2019

Having just finished my first course on big data feels really great !

교육 기관: Omar A L

Jan 09, 2019

the course is very good, thanks for your effort

교육 기관: Ilya P

Jan 24, 2019

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

교육 기관: anuj k a

Feb 09, 2019

fantastic course to get interest and overview in big data technologies

교육 기관: Durgesh J

Feb 11, 2019

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