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

2,372 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


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.


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.

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401 - 425 of 504 Reviews for Big Data Integration and Processing


Aug 30, 2021

Installation instructions need to be improved. Wasted too much time installing, rather than hands-on practice

By Leonardo L

Aug 10, 2020

the instructions to the final test are insufficient and the forums cant fullfill the students questions.

By Venkat S

Sep 2, 2020

One of the tools mentioned tin the course do not work with Cloudera any more. So my labs became tough.

By Tatiana M

Feb 28, 2017

A little slower than the last ones, not my favorite but great use of hands-on projects and enagagement


Oct 23, 2016

Needs more depth. Instructors should reference more external readings since the lectures are brief.

By Anirudh

Dec 25, 2016

some of the stuff was not mentioned properly, like for last quiz how to expoert data from mongodb

By Pablo A L Z

Jul 28, 2020


By Nester P

Sep 10, 2017

The last assignment of Week 6 was far more advanced than the rest of the material.

By Luis O

Apr 27, 2020

You could focus more on Spark that is the widely software for Big data Processing

By Erik P

Oct 14, 2017

very nice, just wish the environment was using docker instead of virtual machines

By Silvia C R S

Oct 28, 2017

I think that there should be more exercises for MongoDB and Spark assigments.

By Ramathmika

Apr 2, 2020

Not very efficient hands-on practices but overall good learning experience

By Dev A S

Jan 19, 2020

Good course. But we couldn't relate the theoretical videos with hands-on.

By Vish V

Sep 18, 2021

Teaching is good but practice software provided completely outdated.

By Vadim C

Nov 5, 2016

The final assessment somewhat not really well designed, imho.

By Oleh D

Nov 11, 2020

Pyspark environment is quite not ready for this course.

By Ashish J

Aug 24, 2017

spark hands on should have been more instructive.

By Manas D

Aug 9, 2020

mam teaches well while sir is not good at all


Aug 5, 2019

Good info, just a lot of info to digest.

By Konstantin K

Mar 1, 2018

All is good except the Splunk case

By Ho S J

Jun 21, 2017

Very difficult final exam.

By Soham B

Nov 17, 2022

Course needs update

By Brajesh L S

Apr 27, 2020

Tough one.

By Keith B

Mar 31, 2017

The course and presentations were very informational and good. I enjoyed that aspect. I would have rated the course 4-5 star based on that. The reason for the low rating was the 6th module, and the fact that I felt very ill prepared for the syntax of creating all the operations in Spark (building out the Jupiter notebook). We really did not cover much of that, and it was quite punishing to search the web and sources to make things work. Even the instructions to export the csv file were misleading at best. I have a full time job and a family, I am not some young undergraduate with copious amounts of time to waste. While I am not opposed to some searching of other sources, I would like to have more of the useful information taught so that it is not so much of a burden. I believe that if you are going to test people on something, you should at least cover it in some sense.

By Markus S

Mar 3, 2019

With deep regrets I feel obliged to share a negative rating on the course. While the course material/video lectures are average to good (no rocket science but well done introduction into the subjects), the hands-on exercises and particularly the technical environment, i.e. Cloudera VM is entirely messed-up: - setup scripts are not working/ are outdated (e.g., anaconda requires no-check-certificate); user permissions are all set wrong and need to be corrected; firefox outdated with update function not working; countless error around spark context (SC) variables.... and so on... For a course that is so prominently promoted on the platform the least expectation is that the provided environment works and that students don´t need to spend hours on google to figure out how to debug the cloudera image.... Here, imo, a much better job can be done!