Oct 17, 2017
Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.
Mar 28, 2017
Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)
By Manik S•
Aug 11, 2019
LOW QUALITY VIDEOS, OBSOLETE RESOURCES, VIRTUALLY NO TECH SUPPORT
By Ra'ed A•
May 07, 2019
Fix the mistakes!
Aug 19, 2019
Peer-graded assignment is very badly described.
By Muhammad S•
Sep 27, 2019
Thanks for offering this course. The course is not so good because most of the portion is theoretically based. We join the Coursera for hands-on courses. We study a lot of courses in our Homeland universities which are 90% theoretical. so I join Coursera to implement the concepts practically but this course is not so practical.
By Francisco J H•
Oct 06, 2019
It was useful but I was expecting more specific exercies and practices with state of the art tools, instead of only a very high level conceptual resume of the frameworks and data types. I hope that in next specialization courses will go deeper into the specific uses.
By Anurag S•
Sep 13, 2018
As far as the content is concerned, this is a very good course. Concepts are explained well.
What I disliked about the course is the final peer-reviewed problem.
1. The instructions were unclear about what was needed to be done.
2. When submitting, the HTML of the problem got badly garbled.
3. When reviewing peer submissions, for the first part nobody could read their submission because of the garbled format.
4. Most people did not get the second and third questions right but instead of there being a way to evaluate how much they understood, it was a yes/no option to grade them (which amount to either them passing or failing).
I think this is a promising specialization but the instructors need to pay heed to the bevy of complaints in the various forums.
By Clemens W•
Nov 20, 2016
The course takes a broad approach to the subject.
What I miss: the study material should provide more and better organized (theoretical) information (e.g. on topcis like database design, data structures, etc.)
What I like: presenting of current software projects around big data
By Cyprien H•
Dec 25, 2017
The course in itself is quite good, although there are many concepts presented in a few videos only.
The bug flaw is the final peer review assignment. Questions are unclear; It is a pain to complete. When reviewing your peers, expect the same issues: you are left alone to interpret if what was done corresponds to what is expected. I guess instructors intended to make something simple but it is definitely not.
And the most frustrating thing is that this has been a recurring complain (see the forum), and nothing has changed so far.
By Christine G•
Aug 09, 2017
Capstone assignment was disappointing.
By Saulet Y•
Jan 11, 2019
Very boring and not interesting course. The slides are just tedious. Additionally, there are some mistakes in week 4 if I'm not mistaken with evaluating weights and coSim(). Many users mentioned in the forums, but nothing has done.
By Konstantin K•
Feb 14, 2018
I'm not sure I got the topic Big Data Modeling and Management Systems from material of the course. Quite redundant and dissimilar lectures
By Henrique S C•
Apr 26, 2018
The content is good, but the final assignment is ridiculous. The instructions are horrible, the peer reviewers are a joke (there are many people there with 0 experience with databases giving wrong feedback), and you don't get the answers for reviewing other people's works.
By Aniruddha J•
May 20, 2018
Definitely could have used more hands on practices. The hands on practice examples could've delved deeper into 'how' instead of just giving you the command lines to run. Majority of the times were spent on lectures talking about abstract concepts. While useful, more of that time would've been better spend on hands-on examples.
By Congcong Z•
Nov 07, 2017
it would be better if there is person to person explanation of homework
By Yanpei L•
May 03, 2017
Expecting more hands on experience with big data frameworks like Hadoop or Spark. Instructions of the final assignment is very confusing, you don't actually know what it really want you to do until you go through all the Q&As in the discussion forum, which is really wasting time.
By Andrew C•
Dec 11, 2018
Level of content between week four and five is vastly gapped. Too big of a jump. No explanation of BDMS and DBMS in between
By Floyd C•
Dec 31, 2018
Compared to the first course this one is not as good, especially Week 5. You can see lots of people complaining about week 5 which does not make sense to the students at all.
By Lucas A H•
Jan 19, 2019
Too simple for a persona that's already in the BI industry
By Stanislav D•
Jan 24, 2019
Final task has numerous problems ranging from Coursera site formatting limitations that have not been accounted for to lack of master-answer to peers (e.g. peers unfamiliar with industry can't grade what they don' know)
By Raivis J•
Feb 11, 2019
Some topics swing wildly from high level to very technical or in-depth math, which in my opinion is not needed, this is not a DB administrator course.
The hands-on exercises seemed loosely connected to the course topics. I would have liked to see practical tasks based on real-life problems and situations in big data applications.
The final graded assignment is for someone completely new to the concept of databases, and has no relation to big data, or tools used in big data, which is unfortunate.
By Guillaume V•
Jun 16, 2017
Disappointing course. Poor language level, many mistakes (grammar, words, in examples shown). Poorly explained and confusing final assignment
By Hendrik B•
Dec 17, 2017
Sorry, but I don't think this is a very good course. Here are some reasons why: The time said to be needed for the course is artificially increased, because there are ten minutes appraised for each set of lecture slides. At the end, there is almost no reading material, which is not obvious when looking at the course at the start. I think this is almost fraud. Ultimately, there are basically only lectures, no other media to learn, except for some multiple-choice quizzes. There are Coursera courses which are way more diverse. Additionally, the lectures are not particularly good (not speaking of the horrible design and colouring). Especially, when talking about some examples for BDMS, it is difficult to follow because some of the concepts have not been explained properly prior to that. The quizzes are not very good, and it is very obvious that there is not much thought behind the answer options. Also, for the quizzes you almost exclusively need to memorize learned stuff, but not to transfer knowledge or to apply knowledge). The final exam was a joke, because there was NO attempt by the supervisors to give students some intuition about the right answers after they submitted. Still, they were expected to rate others’ submissions. Meaning, when you didn't know how to answer a question, you were still expected to rate others submissions. Seriously? In general, so far it feels like the lecturers attempted to make a shallow course for a big topic, meaning big data, in order to get some money (after all: it is expensive to earn a course certificate). There are courses on other topics (e.g. “Game Theory” by Stanford University, where the quizzes are relatively hard but you get a feeling that you learn something, “Improving your statistical inferences” by Eindhoven University, which has many different media to learn, not just lectures, and has exceptionally good quizzes, as well as “Bayesian Statistics: From Concept to Data Analysis” by Santa Cruz University, which has very modern style of presenting the lecture). Sorry, but I think this course needs improvement, especially since the topic is so important.
By Irfan S•
Sep 26, 2017
Very basic and lack real time
By NOVELLA P•
Oct 12, 2017
Course content clear and concise- but assignment directions were too open to interpretation. Also presentation of the assignment results for review where the answer was requested in table format the table overrides the scoring section and the visibility of the responses appeared scrambled. Peer review on week 6 assignment needs a rethink-this need some process of challenge where a mentor or instructor can intervene to correct faulty peer reviews
By Zaher A H•
Jun 22, 2017
The course is not structured well. I hope if the course provides the skills needed to build noSQL data models such as Columnar - KV - Graphical etc. but the course keeps jumping from notion to notion with no clear and smooth structure.
The lecturer presentation style is terrible.