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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

5,600개의 평가
1,340개의 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 1,282개 리뷰 중 201~225

교육 기관: Kshitiz S

Oct 30, 2016

Systematic introduction to Big Data...highly recommended!

교육 기관: Luis F S A

Apr 22, 2017


교육 기관: sai s

Jun 16, 2017

learnt the high level overview of the course.

교육 기관: Alan L

Jan 29, 2018

The course had good information and well presented. The map to reduce test not real clear. Still learning the u

교육 기관: Priyank B

Oct 26, 2017


교육 기관: ARUN S N

Nov 02, 2016

Audited the course. Great content for intro to big data!

교육 기관: Abdelkrim N

Jan 15, 2018

Great course to begin immersion in the BIG DATA world.

교육 기관: Sruti R S

Jun 26, 2018

It clarifies the basics of Big Data and Data science concepts.

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: Senthil K P

Jan 12, 2018

Good for beginners

교육 기관: Anthony W U

Aug 28, 2016

Despite my busy work schedule I had fun taking this course especially because of the forum that diverse learners from all around the globe participated it. Twice I got stuck with running hadoop and other learners had posted the solution so I tried their suggestions and I got unstuck! I appreciate those who put in extra work to make my learning easier and fun. Honestly, that was the incentive that made me to complete this course for I was about to drop out. Thank you.

교육 기관: Bo L

Jun 06, 2017

Great Introduction to Big Data!

교육 기관: João P S S

Jul 05, 2017


교육 기관: Nitin K M

Jul 03, 2017

good course

교육 기관: Ahmed B

Jan 10, 2018


Actually, this is the first course for me on Coursera. I have learned a lot of valuable information and took a perfect knowledge from respected professors. I wish to finish this specialization in 6 months.

교육 기관: loveneet k

Jul 28, 2017

Good overview to understand BIG data and technologies running behind it.

교육 기관: Mejzo

Aug 23, 2016

Really nice overview about Big Data .. I guess you have to watch it 2 times for better understanding.

교육 기관: Shakir

May 10, 2017

Nice course and learned a lot of new things. Very informative

교육 기관: Elena D

Jan 10, 2017

Comprehensive introduction to Big Data and Hadoop. Great and simple explanation of MapReduce.

교육 기관: Santanu K

Feb 02, 2017

Excellent course! Very well structured and provides basic understanding of the concepts involved in a very clear way.

교육 기관: Miguel A G O

Oct 25, 2017

Muy buen inicio.

교육 기관: Jennyfer C

Aug 01, 2017


교육 기관: Sanathkumar N

Aug 16, 2016

A perfect beginner's introduction course to the Big Data World.

교육 기관: William S A

Jun 18, 2017

Very good way to start into great world of Big Data

교육 기관: Victor l

Aug 22, 2017

Wonderful course. The course is really helpful.