Learner Reviews & Feedback for Big Data Integration and Processing by University of California San Diego
About the Course
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.
251 - 275 of 509 Reviews for Big Data Integration and Processing
By Sorgo W C
•Aug 3, 2020
exellent
By Suraj P
•Jun 13, 2020
Good one
By Harsh D
•Oct 11, 2018
nice one
By MR. G L
•Jun 28, 2020
amazing
By ASHUTOSH S
•Aug 31, 2019
awesome
By Shekh A
•Jul 30, 2019
Awesome
By José G d A L N
•Dec 4, 2018
Perfect
By Kavita R L
•Dec 23, 2020
Good
By GOKUL M B
•Sep 25, 2020
good
By RAGHUVEER S D
•Jul 25, 2020
good
By Anvitha K
•Jun 17, 2020
nice
By Aji N J
•May 25, 2020
good
By Maansi S
•May 22, 2020
good
By aleksei a
•Mar 20, 2020
good
By Arthur-Lance
•Sep 24, 2017
cool
By SHAKTHI S
•Jun 3, 2020
Gud
By Mostafa R
•Feb 15, 2020
...
By bagiya k
•Sep 6, 2020
no
By Mahesh P
•Oct 9, 2018
V
By Irfan S B
•Oct 19, 2017
G
By CHEMAK C
•Oct 13, 2016
G
By Santiago V M
•Oct 21, 2020
El curso fue muy util e interesante, y mucho de lo aprendido sirve para aplicarlo en el mundo laboral de la sociedad actual. Me gustaron los módulos que tenía y los distintos retos que proponía. Sin embargo, se nota que el curso no está actualizado en términos de las herramientas que pide utilizar lo que frena mucho la fluidez del aprendizaje. Por otro lado, se nota que los mentores y profesores no están pendientes del curso. En el foro hay preguntas que se repiten y se repiten y no hay respuesta por ningún lado de nadie distintas a otros estudiantes que, o tienen las mismas dudas, o que lograron de alguna forma resolver la duda. Pienso que al ser denominado como curso, alguien debe estar pendiente de las dudas que puedan surgir.
By Michael L
•Mar 22, 2020
I especially enjoyed the hand-on exercise of week 6 and all-in-all the lectures. They give a good overview on various data integration tools.
Though, I think the virtual machine and some documentation around it needs an update. If you do not finish exercises in one sweep, it is often not obvious how to restore the original settings. I think I've spent almost the same time trying to get the environment on my virtual machine running as with the actual doing in the exercise. I know that this might even reflect the life of a data scientist but some checker scripts which test, if hadoop is running properly, environment variables are set correct, the right version of java is in the path, and so on would be really helpful.
By Misha
•Jul 12, 2020
Serious problems with the hands-on assignments. I consider myself a fairly seasoned programmer, with quite a few years of Python under my belt. I still spent many hours on the final project, searching around CentOS forums for ways to troubleshoot Pyspark (the last assignment takes place in a virtual machine). I would recommend not taking this class until you have a very solid understanding of Python and, be aware, this requires bravery in the face of the command line. Not for the faint of heart. I learned A LOT about MongoDB, Linux, PySpark, Hadoop, and conceptual big data as a whole.
By Anurag S
•Sep 13, 2018
The course content is very well thought out and presented.
Hands-on exercises remain a challenge as many things don't work. It takes the mindset of problem-solving (not just in big data, but also in debugging, figuring out how to get different scripts to run, how to set environment variables etc.) to be able to complete all exercises in this course. I suspect that many people might get discouraged and quit the course midway.
The final week's exercises did test my programming skills to a very large extent but gave me a good understanding of the course concepts.
A very good course overall.