Avis et commentaires pour d'étudiants pour Big Data Integration and Processing par Université de Californie à San Diego

Great Course! Provides a good exposure to the tools and utilities. The database part has been done well. The part with the Spark needs some more info on how to use the data frames.

I was a beginner in the area of Big Data and I selected this course due to my interest and curiosity. But the lectures were very clear and I could successfully complete the course.

The quiz was a bit difficult since there was no much guidance on how to sort in descending order and how to find the total times a country was mentioned in a single tweet.

that course had alot of technical training , i enjoyed every bit of it , specialy the final project , it gave you a little guidance with more space for you to develop more

The week 6 hands on activity was very tough as compared to all other activities in the specialization so far. A gradual increase in difficulty would have been better.

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.

It would be really helpful if there were full time teaching assistant whom we could directly contact for queries, since questions on forum many times go unanswered.

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.

Very comprehensive overview and well explained. Only the last hands-on exercise in week 6 was as challenging as I would like to see for all the other exercises.

Some problems occur in VM and the use of virtualbox is not good, I use vmware, because I find some problems to run Virtualbox in my PC.

The course needs update.

The Spark component was especially useful when it went into depth about architecture and implementation. Also appreciated the coverage of MongoDB

PSpeaker who is a man is not very good communicating the lectures it's very difficutl to follow him as his tone is not very good for e-learning.

I enjoyed the practical introduction to Hadoop and Spark. I appreciated the quizzes, which exposed me to both platforms via hands on experience.

Challenging hands on experience working with both structured and unstructured data, and creating value out of it by using SPARK and MongoDB.

Content was good however we need to get more support on hands on as sometime we feel that we are stuck due to non availability of the right

Environment setup instructions for final assignment do not work as expected and need to be updated to avoid time spent in troubleshooting.

All of a sudden this course is enriched with hands on practice. I think it should be more improved as everything is not clear that much.

The final project is a bit tough but worth it. If you manage to finish it you'll have a new understanding of Spark RDDs and DataFrames.

Technical support for hands-on work is ridiculously out of date at the rare occasion it is available. and i’m paying for this course!

this course is great , its giving many hands-on sessions that allow the student to be on the way of being professional in this career

It is good course. Some instructions followed not working, course instructions and supplied resources requires update. thank you

Need more hands-on for final test, would really help to have extra two weeks split with just good handson. Before final test

More Hands on experience should be included.

Reading of Apache Spark documentation should be made mandatory for beginners.

The last quiz was very hard to complete. I didn't found enough content to solve que questions in the course material.

Need more explainaion. There are few videos such as that of RDD where I found difficulty in understanding the concept