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.
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 VISHNU N P•
by Saurabh K•
by Fhareza A•
by Drew G•
The information provided is solid, but this entire specialization has issues with the peer-graded assignments. The assignments themselves are good, open-ended questions designed to test your grasp of the concept being taught. The problem is the grading rubrics and the peer-review aspect. Where the questions are open-ended, the rubric often is not, demanding that only one of the possible answers be reached, or that a conclusion be reached in their specified manner. This leads to submitting the assignment, review other assignments to see what the rubric actually wants you to do, then resubmitting your assignment after you've reverse engineered the "right way" to do it to pass peer-review.
But there's only one or two of those per course, and are a relatively minor annoyance compared the good information being communicated.
by Aleksandar R•
Not as good as the first course in the big data specialization. The big data modeling part of the course was excellent in my opinion because it contained both theory and practice. However, the management systems were not covered adequately, with only one week in the course allocated to cover those topics. I remember how a few management systems are called and what they're good for, but I wouldn't feel confident to perform any practical tasks with big data management systems after finishing this course.
Still, I'd say it's worth taking the course if you want an overview of the most common big data models and management systems.
by Wayne S•
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.
by Bhanu H•
Course material is very good. Instructors are great and talk clearly and explain well.
My only difficulty is with peer reviewed assignments. There is no answer key. So how one grades depends on what he/she thinks is the right answer. I understand there is no easy solution to this problem for online courses. It is not a show stopper though since you can submit multiple times. But why not just grade using Assistant or by instructor themselves.
by Johannes V•
All in all the course was very good as the first one. However it is not clear for me what I can do, if I feel myself unfairly graded by my peers at the Peer-Reviews. Furthermore it would be helpful, if the peers had to justify their grading by giving helpful comments to their grades. It is pretty discouraging doing the extra effort, when grading and receiving no constructive feedback at all. Therefore you should be able to challenge grading.
by Nikhil C•
Overall a good course to get the basics of what the difference is between managing Big Data system, versus your more traditional systems. I really like both instructors.
I took one star off because one of the twitter API assignments that we were supposed to do in the VM didn't work. Plus there's no one to support you in case an issue like this occurs.
by Don M•
This course is a valuable introduction to Big Data Models and Management Systems for a variety of data types. The hands on exercises and company use case examples provide helpful context and application of the concepts. This knowledge also provides the learner with more confidence in navigating big data conversations in a professional environment.
by Siphephelo B G•
I loved how it built on knowledge obtained from the previous course and even had a recap video as a reminder of what was covered then. My only real gripe is how the felt like a bit of a curved ball - it was tricky to understand what was required of us. Overall, the course content is solid and I would recommend it to anyone
The lectures and hands on material for this course deserve 5 stars. I did not like the peer review assignment as I thought it was unclear and that the review process is very inconsistent. That being said I have not liked peer review projects for any classes I have take on coursera so I would still recommend this class.
by Prospero-Martin R•
I enjoyed the lectures and liked the topics. Although I would like little bit more hands-on quizes. The "Designing a Big Data Management System for an Online Game" questions where unclear, probably if we had had more hands-on exercises throughout we would not be as confused as gain confidence.
by Carsten K•
The course is great, but the peer review assignment at the end needs a lot of polishing, as the instructions are unclear and way to vague. Furthermore, the answers are not very specific, making grading difficult at best. Despite the peer review assignment, I can fully recommend the course.
by Koyel G•
This course captures the overview of Big data modelling concept in a very simple way. I found this course very useful. Instructors are good to explain the concepts. Though it would be good to add one or two (add-on or optional hands on exercises) handson for graph and tree data modelling.
by H J•
Excellent intro to the subject. The instructors explain the material well. I deducted one star for the grading treatment of the Peer-Graded Assignment (Catch the Pink Flamingo). It's understood that there is no one "right" answer, but peers should be given a range of possible answers.
by Devon E•
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.
by Vinod S•
Great course on concepts of Big data modelling.
Great opportunity to learn from 2 people who are actually working on Big data issues in the Live world.
The assignment in week 6 can be improved in terms of more objective questions and the spaces provided to write the answers.
by Sarah A•
I believe some of the content is not easy to understand, although the course is great, I had to go online to check some of the concepts to fully understand them.
Still, I recommend the course for all of those initiating their careers with Big Data
by Dhairya T•
Pretty good course with deep learning methods and detailed hands on experience except the Gephi one where they could have mentioned better about the downloaded gephi icon on desktop wont work. But overall an excellent course ..worth your time
by Felipe A Z•
The course is better than the first one, which more real examples and tools that are used to model and manage big data. The concepts are getting more intersting because they are more related to the real activities with big data.
by Dennis N•
I got excellent exposure to the various ways that big data is handled and structured and it was in detail as well. I highly recommend this course for anyone who is pursuing a career in being involved in the big data landscape.
by Snehal B•
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.
by Apurva T•
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.
by Rudransh P•
Overall, the course is good but the lectures get too boring sometimes when lecturers keep stating properties and stats continously without explaining the examples. This especially happens in Ilkay Ma'am's lectures.