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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

6,885개의 평가
1,641개의 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


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.


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.

필터링 기준:

Introduction to Big Data의 1,595개 리뷰 중 351~375

교육 기관: Mohamed S

Apr 04, 2019

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

교육 기관: Maria F O D

Feb 06, 2017

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

교육 기관: Jyothi k

Dec 29, 2016

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

교육 기관: Shrajna S

May 10, 2020

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


Apr 10, 2020

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

교육 기관: Ashok K

May 17, 2019

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

교육 기관: Yash V

Jun 19, 2017

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

교육 기관: Vihang P

Nov 22, 2016

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

교육 기관: Zubair s

Aug 13, 2016

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

Thanks Coursera for this...

교육 기관: kaan g

May 07, 2020

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

교육 기관: Majji H

Jul 29, 2019

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

교육 기관: PEDRO P V

Nov 21, 2019

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


교육 기관: Edgar G H

Dec 02, 2018

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

교육 기관: Marcos H M C R

Sep 23, 2018

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

교육 기관: Abhijeet K

Jan 28, 2018

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

교육 기관: Ashish J

Aug 17, 2017

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

교육 기관: Lokesh J

Jun 22, 2017

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

교육 기관: Andrew W T

Apr 19, 2017

This was a very good course to get a foundation in Big Data terms, concepts, and tools.

교육 기관: Renjith

Jul 03, 2019

Very beneficial course for big data beginners. It gave a great interest to learn more.

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: Nagarjuna

Oct 01, 2018

wonderfully scripted for beginners to understand and learn the basics of the big data.

교육 기관: martin k

Aug 03, 2018

Very good course, very good topics, got a very good overview about how to use big data

교육 기관: Arturo R

Jun 02, 2018

I liked the introductory course, the concepts and the explanation was clear. Thank you

교육 기관: Nithin P

Jul 21, 2017

This course is really good for beginners. Helps understand all the aspects of Big Data

교육 기관: Nicolas L M

Oct 29, 2016

Excellent course to learn about big data and how to apply this knowledge in real cases