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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

4.6
5,308개의 평가
1,295개의 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

RG

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.

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 1,235개 리뷰 중 176~200

교육 기관: Devendra S

Aug 07, 2018

Excellent Course

교육 기관: Salvatore C

Jul 23, 2018

The course is really well done and provide all the basic concepts and notions that are required to start working with big data.

교육 기관: SAURAV P

Oct 14, 2016

Concept organization and presentation astute and informative. Thanks!

교육 기관: Maria V

Jul 06, 2018

Very interesting to understand how it works.Not really hard. Just enjoy

교육 기관: Nicolás J C

Aug 14, 2017

Very good introduction to the Specialization. I feel like they cover the topics at the pace and intensity as needed. I left learning the basics and foundation of Big Data, which is the main goal of the course.

교육 기관: Saravanan

May 08, 2017

Good one !! Keep Rocking !!

교육 기관: Syed M Z H K

Jul 21, 2017

I once did internship related to Hadoop, and I can say that I didn't learned much there. However, after taking this course I believe that my foundations have been built for more advanced courses. Thank you coursera for considering my request for fee waiver, as without your help I would have improved or gained new knowledge. Thanks again Coursera!

교육 기관: Francisco M F F

Nov 19, 2017

Magnífico curso que te pone el la parrilla de salida de una carrera fascinante como es el Big Data

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: Harshdeep S

May 08, 2017

Easy to learn and implement...

교육 기관: nandhinisampath

May 19, 2017

This course is very useful for beginners.

교육 기관: Leon N

Nov 21, 2016

Good introduction to Big Data and Hadoop

교육 기관: Ashutosh k

Feb 26, 2017

fantastic

교육 기관: Ana M

Mar 03, 2018

I've learned a lot about how the data could be structure and the tools to exploid it.

교육 기관: Anna M

Jun 15, 2016

Great course. Thanks.

교육 기관: Máxima A P

Aug 22, 2016

Good introduction.

교육 기관: PragyaBansal

Aug 17, 2016

Very informative

교육 기관: Nafisur A

Jun 10, 2018

very basic

교육 기관: Vittorio S

Sep 05, 2017

Really interesting course. The perfect introduction to big data.

교육 기관: 현아 이

Aug 09, 2016

g

교육 기관: Juan P G R

Oct 08, 2016

Very good course, excellent professors. No myths, reality of big data.

교육 기관: 凡伍

Aug 20, 2017

it's good course for start big data

교육 기관: mahdi n

Nov 07, 2016

Introduction to Big Data !

교육 기관: Everton R

Nov 05, 2016

An introductory course with lots of usufel information. It is a great start!

교육 기관: Parth S

Apr 07, 2017

Very useful course to start one's journey into the world of Big Data. Concepts were explained thoroughly and in a very easy-to-understand manner. The quizzes and assignment help in evaluating one's own progress. Must-do course for anyone wanting to learn about Big Data.