Chevron Left
Back to Big Data Integration and Processing

Learner Reviews & Feedback for Big Data Integration and Processing by University of California San Diego

4.4
stars
2,402 ratings

About the Course

At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms This course is for those new to data science. Completion of Intro to Big Data is recommended. 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. Refer to the specialization technical requirements for complete hardware and software specifications. 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 (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Top reviews

SB

Oct 21, 2020

Hello Gentlemen,

This course was very helpful foe me. It enhanced my knowledge about Big Data Integration. Thank you so much for providing me such important knowledge. Thank you once again.

AA

Mar 5, 2018

It was a good course, it could have been better if some examples of Spark were also provided in other Languages like Java, people without having background of python may find it difficult.

Filter by:

176 - 200 of 509 Reviews for Big Data Integration and Processing

By vasudha k

•

Jan 16, 2019

amazing course great assignments

By Sarah K

•

Jul 25, 2020

Awesome lecturers and contents!

By Bhrigu C

•

Jun 16, 2018

Great Teachers and great course

By William S A

•

Aug 21, 2017

Excellent content and teachers.

By leena

•

Feb 28, 2020

This is well organised course.

By Lorie S

•

May 25, 2018

Great Course and interesting..

By Ramachandran K

•

Jun 21, 2017

Excellent course and exercises

By PRANAV V V

•

Sep 22, 2022

I enjoyed doing this Course.

By BOUZ A

•

Jul 6, 2020

GOOD ONE !

I LOVE THE TEACHERS

By Deleted A

•

Jun 11, 2020

Nice course for data analysis

By Yuncheng L

•

May 25, 2021

hard as fk but so nutritious

By Velampudi R

•

Jul 9, 2020

The course was exceptional

By Deleted A

•

Aug 28, 2018

Interesting practise part.

By Mahmoud S M K

•

Nov 27, 2021

Great Course explanation

By bcsf16a518-AILYAH C

•

May 13, 2020

Ilkay is the best teacher

By Jose A B A

•

Dec 17, 2016

Excelent practical course

By Víctor V B

•

Dec 2, 2016

excellent.congratulations

By Edgar H

•

Nov 13, 2016

Good last week practice!!

By T.E.ARAVINDHAN S - M

•

Dec 10, 2020

Good learning experience

By Nenad B

•

Oct 28, 2020

N

i

c

e

e

n

t

r

y

i

n

t

o

A

p

a

c

h

e

S

p

a

r

k

By SUTHAHAR P

•

May 25, 2020

Very Interested to Learn

By Christy

•

Sep 6, 2020

very great experience.

By Sayed T S

•

May 28, 2017

It was A greate course

By pranav b

•

Jun 5, 2020

GREAT COURSE TO LEARN

By SANJEEVE K G

•

Oct 19, 2018

Thanks for the Course