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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,402개의 평가
1,312개의 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 1,252개 리뷰 중 176~200

교육 기관: Mike O

Apr 22, 2018

Excellant stuff - crunching all of Shakespeare in one hit in less than a minute

교육 기관: Clement F

Sep 24, 2017

The course is very well structured. It gives an overview the big data landscape with enough knowledge and material to explore and learn more. In short it is a very good foundation course.

교육 기관: Jonathan A A

Oct 09, 2016

this course provides with a very good Introduction to Big data, concepts are clear and the detail provided is a good start point to continue learning about it

교육 기관: Francisco J T

Feb 13, 2017

¡Excelent, I like It!

교육 기관: Carlos M P M

Apr 30, 2018

Intuitive and complete.

교육 기관: Zahra H

Jan 30, 2017

a very good learning experience. really enjoyed it. thank u for this course especially to the instructors.

교육 기관: Luis E B S

Apr 10, 2017

Very cool the course!!!!

교육 기관: amitbhushanbhatt

Mar 15, 2017

Excellent Introduction to Big Data, and Data Science.

교육 기관: Antony C

Apr 05, 2018

Very nice introduction to Big Data field.

교육 기관: Daniel S S

Jul 02, 2017

A nice introduction to Big Data, very good!

교육 기관: Enrique G R

Jul 01, 2016

Good

교육 기관: Mohammad B S

Nov 17, 2016

"Dhaado sutho mukhe dhaado wanton" ( Sindhi)

Very nice indeed i liked it very much

교육 기관: David C

Jul 18, 2017

Good overview of the key concepts, techniques, and technologies involved in using and/or implementing a big data program.

교육 기관: Nitin N

Mar 14, 2017

awesome introduction to big data. Aimed at complete rookies

교육 기관: cmsandiga

Aug 21, 2016

The content is better than the last course, nice job !

교육 기관: Mohamed M G F

Feb 20, 2017

Perfect introduction course to Big Data

교육 기관: Jose A R N

Feb 12, 2018

My name is Jose Antonio. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11)

I did this specialization to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.

Regards.

Jose Antonio.

교육 기관: Tony L

Nov 27, 2016

Learn alot in Big Data

교육 기관: Dwarika D M

Jul 21, 2017

this is one of the best tutorial to start from scratch...I really enjoyed this tutorial too much and have learn a lot.

교육 기관: Shah

Feb 23, 2017

great for beginners..

교육 기관: Anibal C

Oct 10, 2017

very good introduction to Big Data.

교육 기관: Tiago P F

Feb 02, 2017

Excellent course with clear and didactic contents.

교육 기관: parul

Mar 16, 2018

Amazing course with great content. Very good for beginners.

교육 기관: M.GANESH P

Aug 06, 2017

Awesome course for beginners .Practicals was more interesting.

교육 기관: Anthony S L J

Mar 09, 2017

Good Introduction to BIg Data with many practical examples.