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

Level of content between week four and five is vastly gapped. Too big of a jump. No explanation of BDMS and DBMS in between

Too high level. Last assignment too ambiguous, peer assessment was completely random and not reliable to pass the course.

Too simple, no programming, just theory.

Very basic and lack real time

hard to follow not because it is difficult, but the lecture is only slides, texts, reading slides, very boring and not so many hand-on instruction. only thing i remember is the instructor's face after finish this class. Dont know why you add this into such a good specialist.

Poorly designed assignment on data modeling did little to expand my knowledge on the topic. Which is a shame since the individual lectures were well done and very interesting. The "Pink Flamingo" peer-peer-reveiwed exercise needs to go.

The last peer review is really hard to do. Hard is because the wording is very ambiguous and not all understand how to review. There was a guy who answered with SQL query. This is hardcore since we have not learned that yet...

Maybe this course would have made more sense at the end of the specialization. But here it just seems like an unnecessary spike in difficulty to understand (not necessarily difficulty to pass) due to the poor lecturing style.

As a manager in an IT consultancy, I can't justify sending my personnel through this course, even at $69 per course. The amount of information gained is very thin and does not move one toward being productive.

The content is only intended for people who have a background in this field. The peer graded assignment is completely unclear on instructions . the test is not at all well devised. I am regretting.

constant problem during every exercise, Prepare to spend more time troubleshooting virtual machine problems and CentOS 6 issues than learning about BIG Data

Disastrous set-up of grading assignment. Waiting for 7 days to get rated. No possibility to contact any Coursera staff directly.

Boring, impractical, very broad, 4 years out of date. Trains you on a bunch of clunky definitions but no useful substance

This course is the worst course on Coursera. I can't understand what it is trying to achieve.

Very basic, the 'hands on' exercises are not very hands on and do not actually add much value

Course material is very poor and did not give much support for doing assignments.

This course is SERIOUSLY out dated and hasn't been updated in several years.

Bad course without many useful info

The course gives an extensive overview of the topic. I have particularly appreciated the hands on section.

My recommendation to all the students is to not overlook the hands on and create some personal notes and code archive to quickly review those topics.

Some particular good learning for myself: lucene. I have used lucene at work both directly and wrapped within elastic search: in both cases I was not going deep in understanding the data model behind lucene and concepts like similarity. You can leave like that in the vast majority of the current jobs where lucene is a third party system invoked upon needs but understanding the model behind was simply much more easy than I expected.

This course was really nice and very well put together. I learned a lot and more so, learned in a structured manner. For people like me who come from traditional data background and new to big data concepts this way of presenting the course is very important and fruitful. I hoping to complete the rest of the courses in this series and end up with a good depth in knowledge of big data

My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by the Teachers.

Congratulations to Coursera team and Teachers.

I thoroughly enjoyed this course. The content was good and it definitely needs some changes. You should explain according to me in more detail about how using a particular method of data structure you can structure the data. The exercise was easy. And please add some more exercise so that learners need to work little harder to pass the quiz.

I was looking for this type of course of BigData. I have spent hours to read through different blogs and articles. But couldn't get better idea/direction how to start or where to start. This is ideal course for getting started on Big Data. I enjoyed all the slides and hands on very much. Thank you.

Modeling is the start and gives an insight how to choose the correct model for a big data project. The correct choice of the model spells success for the project. Many data models were introduced and the hands-on exercises were helpful in better understanding of the concepts.

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.