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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

5,625개의 평가
1,344개의 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 1,285개 리뷰 중 251~275

교육 기관: Doosin J

Mar 30, 2017

it is so helpful to understand big data

교육 기관: Luiz F

Jun 18, 2017


교육 기관: Matthew S

Mar 05, 2017

Great stuff!

교육 기관: Daniel M M

Sep 11, 2017

Complete and funny!

교육 기관: Ashish C

Apr 12, 2017

Very well formulated with all the necessary details required to understand the basics

교육 기관: Masoumeh G

Jun 11, 2017

Thank you very much

교육 기관: Brad K

Mar 28, 2017

This was a very good course covering great information on Big Data with many quizzes and workshops to reinforce the learning content. I found it very interesting and looking forward to continuing the big data journey. Passing this course was fun and exciting! I'm already using what I've learned on my job. I'm planning on registering for the next module but taking a moment to celebrate this success.

교육 기관: Akshay P

May 08, 2017

A good overview of data science. I especially liked the hands on exercises.

교육 기관: Mostafa M E

Apr 09, 2017

very good

교육 기관: Matthew A C

Feb 26, 2018

The basis to most of the concepts given were very informational and each lesson was well developed. The hands on activities truly made it worth it!

교육 기관: Muhammad A Z

Aug 24, 2017

The Great Course offered. I had tried many resources before knowing about this one about big data. but couldn't understand exactly about it. But now I'm comfortable about my knowledge of big data

교육 기관: Suyog P

Mar 14, 2017

Very Good

교육 기관: Anton V

Jun 20, 2017

For me this is my first online course and I am flabbergasted by the quality and comfort of studying online. I think the course is well structured, very knowledge intensive, but well balanced. You learn a lot in a relatively short time frame. Thank you very much for this fantastic course.

교육 기관: YashVardhan S

Jul 17, 2017

good for all

교육 기관: Manvik S

Nov 21, 2017

excellent course for beginners

교육 기관: Sabawoon S

Jan 08, 2018

Excellent information.

교육 기관: SagarSrinivas

Sep 04, 2017

Quite Excited to learn!. Good exposure to beginners

교육 기관: Nora I B

Mar 22, 2017

This course gave me a very clear idea about why big data came out. big data applications, and the dimensions of big data.

교육 기관: Michel R

Nov 15, 2017

Perfect introduction.

교육 기관: Beate S

Nov 16, 2017

Great overview.

교육 기관: Yael U

May 08, 2017

Great introduction!

교육 기관: Swetha M K

Jun 25, 2018

Very detailed explanation of concepts, which though might be common but in the context of Big Data is good to go over. The course naturally transits over tops and finally leads you into the main Hadoop , MadReduce concepts which becomes very easy to understand thanks to all the explanation provided earlier

교육 기관: Alice V

Apr 11, 2017

Very helpful overview of all major topics around big data. Engaging, never boring. A couple of good framework to structure the various information around the topic

교육 기관: kundan k

Apr 04, 2018

Nice course

thank you

교육 기관: Rajib K

Apr 17, 2017

Excellent course..I had no idea about Big Data earlier and this course so far has helped me understand the fundamentals of big data really well. The exams, peer grading etc are amazing.