糖心vlog官网观看

Chevron Left
Back to Introduction to Big Data

Learner Reviews & Feedback for Introduction to Big Data by University of California San Diego

4.6
stars
10,952 ratings

About the Course

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鈥檚 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 鈥淎bout This Mac.鈥� 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+....

Top reviews

HM

Sep 9, 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.

AR

Mar 31, 2020

One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.

Filter by:

1301 - 1325 of 2,495 Reviews for Introduction to Big Data

By Raviteja G

鈥�

Nov 19, 2017

M

u

c

h

U

s

u

e

f

u

l

L

e

c

t

u

r

e

s

T

h

a

n

k

s

By Yeshar H

鈥�

Sep 29, 2016

Great, very simple intro!

By Monty S

鈥�

May 18, 2021

Great Course on Big Data

By Guillermo R

鈥�

Dec 30, 2020

Nice introductory course

By Daniel F

鈥�

Dec 24, 2020

Buen curso aprend铆 mucho

By Narendi M

鈥�

Sep 30, 2020

Insightful and practical

By TAFAT K

鈥�

Aug 19, 2020

it's very good thenk you

By Abhishek k G

鈥�

Jul 8, 2020

great learing experiance

By Ayush S

鈥�

Jun 9, 2020

Good introductory course

By NANDHINI S 1

鈥�

Apr 30, 2020

It is very useful course

By Harshil S

鈥�

Apr 15, 2020

Nice Introductory Course

By Oduneye A K

鈥�

Apr 7, 2020

Great Course. Well done!

By Naman A

鈥�

Feb 21, 2020

Good for basics of data.

By Ranjeet R

鈥�

Jan 22, 2019

explanation is very good

By francesco m c

鈥�

Sep 14, 2018

very nice and structured

By TUSHAR L

鈥�

Feb 25, 2018

Excellent for beginners.

By Luis B

鈥�

Apr 11, 2017

Very cool the course!!!!

By daniel l

鈥�

Nov 11, 2016

Good introduction course

By Christophe S

鈥�

Nov 4, 2016

High level introduction.

By Jorge E L C

鈥�

Jul 7, 2016

Very good specialization

By Fernando P

鈥�

Jan 24, 2022

Nice introducing course

By Venkata R T

鈥�

Apr 23, 2021

Good course for Biggers

By nnp D

鈥�

Mar 18, 2021

it was excellent course

By Juan C V E

鈥�

Sep 17, 2020

Awesome beginner course

By Snehal S

鈥�

Jun 21, 2020

It is very good course.