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캘리포니아 샌디에고 대학교의 Introduction to Big Data 학습자 리뷰 및 피드백

5,604개의 평가
1,342개의 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 76~100

교육 기관: Liliana d C C M

Mar 16, 2019

Un curso excelente

교육 기관: Guillermina S

Mar 16, 2019

Good introduction (not very technical), takes a day to complete with velocity 1.75x

교육 기관: Km S S

Jan 13, 2019

It was awsome.

교육 기관: Paramasivan D

Jan 13, 2019

This is a great course. The best part I liked about this course is connection to the real world scenarios. This helped in identifying the idea of big data. Thanks to the course organizers

교육 기관: Apurva T

Jan 15, 2019

Very good course with excellent lecture videos by the tutors.

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: Chandra M R K

Dec 17, 2018


교육 기관: pooja g

Nov 16, 2018

Very well explained, the hands-on is very useful. Highly recommended!

교육 기관: Irma A H A

Nov 17, 2018

Great way to learn, love it!

교육 기관: Ahmed R

Mar 21, 2019

Recommended to my colleagues in my department.

교육 기관: Pranay K

Jul 29, 2018

It's a great start to my learning curve for BIG DATA

교육 기관: Savitha R

Jul 30, 2018

The course is very informative. I was a layman in BigData. Now, I know what are the kinds of data, origin of data, how it impacts and plays roles in our lives.

Fundamentals of Hadoop has been explained very well and the assignments play a vital role in the learning because to clear the assignment, we go through the courses at least twice to make the concepts clear.

Thanks for all the effort.

교육 기관: Samuel B F

Aug 05, 2018

Very interesting enlightment of Big Data. I really learned a different perception towards Big Data. Can't wait for the next clases.

교육 기관: Rohit S

Aug 04, 2018


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: Devendra S

Aug 07, 2018

Excellent Course

교육 기관: Daniel P

Jul 17, 2018

Great introduction to Big Data. I went from knowing nothing about the subject to feeling mildly confindent about talking about the subject with industry professionals.

교육 기관: Georgiy Z

Aug 12, 2018

Great introduction to Big Data environment.

교육 기관: Zakir U S

Aug 10, 2018

Great course for Big Data curios people..

Worth learning..

교육 기관: Kevin C

Aug 12, 2018

In a world where data is the new currency, this course is worth it's weight in gold. Great Program

교육 기관: Dilipkumar S P

Aug 13, 2018

Very good course. Content and material is very well explain.

교육 기관: Ramesh T V R

Aug 11, 2018

The course is very good for people who are new to Big Data. The basics were explained well in Layman's terms and is easy to understand. The Basics are strong now and looking forward to understand the in-depth concepts

교육 기관: Malkin P

Aug 14, 2018

It was the very good course! Thank you!

교육 기관: Jacson C

Aug 14, 2018

It is a very good opportunity to hone your skills in big data. This course is mainly about the concepts of big data.

교육 기관: Vrnda V

Jul 18, 2018

Really good explanation by the professors!