学生对 加州大学圣地亚哥分校 提供的 Big Data Modeling and Management Systems 的评价和反馈

Its extremely an important course to understand the different between DBMS and BIG data and why DBMS changed to BDMS. Its also give nice intro to unstructured data process such images and graph Nodes. Study this course will remove many questions in your mind.

Great thanks to the team worked the course.

Easy and understandable

While the course content is very good, I feel this is not for beginners as one needs a basic knowledge of traditional relational databases for starters. The assignment helps clear the concepts and makes it understandable enough to work on it.

very good performace of instructors

The course was great I learned basics of different big data visualizations. Sources of big data and different tools introduced which can be very helpful. The quizes and assignments helped me to better understand the course.

Big Data modeling is important consideration while designing big data solution. Most of other online courses lacks this module. Thanks to coursera for bringing this course. Five star.

I wanted to see more big data issues in the final test.

Really nice course. Had a chance to rediscover my data modelling skills. Surely looking forward to more courses in this specialization.

Decent course, fair information. Although sometimes instructors seem to forget the audience they are talking to, so it is hard to power through some lectures.

The final assignment is unclear in some passages, but it is a very good introduction to the modelling and management systems overall.

Good content and recommend for modeling Big Data.

Basic for database developers

Course was very good, some concepts were a little tough to understand, like the graph network and other topics of first 3 weeks. But on the whole a very good course to understand basics of data modeling and management.

This material in this course seems to be based on a belief that the student has significantly more knowledge than assumed for the first course in the Big Data series. Because of this unfounded assumption, without regard to explanation, I have marked it down to four stars vice the five for the first course.

I think by providing the student with an adequate background, or additional resources, this course could easily be ranked as a five-star course.

In short, for no apparent reason, it quickly becomes more difficult than the first course; and instead, I wish it had been more of a natural transition from the first course.

Expected more hands-on activities and more advanced tasks

nice course ,assignments are well explained and are well organised

good course to know different types of data models and some BDMS.

The content is good overall, but the final project assignment is awful. It's not about whether the questions are too easy or too hard, it is the way in which the assignment is organized that seems confusing.

I would rate it 4/5.

First 4 weeks, we can still relate and keep up to pace with context. But week 5 onwards it becomes difficult to understand. Please come up with more real life scenarios to explain different BDMS models.

I enjoyed this course, the topics was more clear and deep in contrast with level 1.

Should have more and better explanations of various topic like vertica, astersikDB

Another excellent course.

The only thing I would have liked (and maybe this comes later in the upcoming courses) is for the course to take a look inside the python and Lucence scripts so that we could be talked through how these are actually processing the data with guidance.

It was a difficult module, although trainer tried to convey but seems it is more complex it took time for me to understand the concept and apply the same while doing my assignment.

Would have more extra papers/material to read. The hands-on would also bring some problems/challenges without resolution to let us try by ourself (with answers).