Learner Reviews & Feedback for Big Data Integration and Processing by University of California San Diego
About the Course
Top reviews
AG
Oct 8, 2017
Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.
TS
Sep 27, 2017
Good coverage of the issues. Splunk exercise smelled like a promotional thing, not very useful. I think the exercises should be harder and on more complex examples.
76 - 100 of 514 Reviews for Big Data Integration and Processing
By Lukáš B
•Dec 15, 2017
You will definitely not spend time effort which is declared, because it is very time consuming to find solution, but it is very valuable.
By Miguel A R S
•Oct 25, 2017
Although the explanation of all the topics is a little vague, most of the concepts are better understood during the hands-on activities.
By Rick H
•Nov 19, 2016
The lectures were very structured and informative. The quizes were challenging. The final week was demanding and fleshed out concepts
By Nicholas S
•Jan 7, 2020
I learned quite a bit about Big Data problems and the varioius technologies, especially Spark, that you can use for those problems
By Mohamad K
•Oct 2, 2019
Teaching about the quality and not quantity. It's a great course , i have learned a lot tech that used now days in our real life.
By Alfonso A C M
•Aug 17, 2020
In general my experience was very good, I consider that you must have some knowledge in programming to get the most out of it.
By Dmitry I
•May 23, 2022
the course is very cramped, not enough pain clear basis in practice, ie where it can be used in real life for their own needs
By Sita R P G
•Dec 11, 2016
The Spark introduction and exercises were good. It would be an added advantage if the final steps/answers also get published.
By xavier s
•Aug 31, 2017
theoric and practise, very usefull course to have a first concret view of data manipulation with some kinds of big data api.
By Anna K
•Mar 23, 2020
It is a great hands on course. The problems were in setting up and configuring variety of software for completing projects.
By Glenn B
•Feb 9, 2017
I found this course like the others. I really liked the hands on labs. It gave a real feel for the programs being explained
By Deleted A
•Mar 28, 2018
Out of the first three course, this has been the most challenging and the most interesting. Enjoyed the final assignement
By Hua W
•Dec 29, 2017
I learn both the basic ideas on the big data integration and processing, and the useful tools, like Spark, MongoDB, etc.
By Ben W
•Nov 12, 2016
Excellent..but not easy. Be prepared to have to do some research! But hey....isn't that part of being a data scientist!
By Ujjwal A
•May 18, 2017
Excellent course design, it gives you basic of MongoDB, Splunk and Apache Spark.
Happy learning and think BIG DATA
By Raunak S
•Apr 15, 2018
great course for those who have a basic level knowledge of big data and then desire to upgrade to a higher level.
By Rahul P
•Jul 23, 2019
The last exercise was worth all the effort. A huge thumbs up for the entire faculty involved with the course !!
By Jesus Y
•Apr 19, 2017
Very Good Course! I'd never used spark before, and doing (and passing) the assignment on it was very rewarding!
By Utsav P
•Feb 6, 2017
I learned a lot of implementation of the techniques and concepts that were covered earlier. A great experience.
By Punam P
•Apr 28, 2020
Nice course to enhance the skill.. Thanks Resp Professor & Team.. Thanks to university and coursera team..
By Tarun S
•Mar 13, 2018
Its amazing, Fantastic, Fabulous, learnt a new technique or technology for the data integration & processing
By Fernando E
•Nov 12, 2016
Very challenging, specially in the week 6 quizzes where a lot of researching took place in order to pass it.
By Lopamudra S
•Apr 29, 2018
A kick start for Big Data Integration and processing.Thanks to my faculty for this wonderful course.
By Mohamed M G F
•Apr 30, 2017
I enjoyed this course. I learnt a lot of stuff about Big Data processing in a simple and clear way.
By Nishant U
•Apr 16, 2019
Amazing part of the specialization where first time interacted with spark and mongodb, great tech