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Learner Reviews & Feedback for Big Data Modeling and Management Systems by University of California San Diego

4.4
2,158 ratings
352 reviews

About the Course

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources. At the end of this course, you will be able to: * Recognize different data elements in your own work and in everyday life problems * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design * Identify the frequent data operations required for various types of data * Select a data model to suit the characteristics of your data * Apply techniques to handle streaming data * Differentiate between a traditional Database Management System and a Big Data Management System * Appreciate why there are so many data management systems * Design a big data information system for an online game company This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Top reviews

MP

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.

VG

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)

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226 - 250 of 342 Reviews for Big Data Modeling and Management Systems

By Robert S

Dec 27, 2017

Nice diversed lecture, only the slides could be more visually appealing and the maths involved could be deeper. Gives good overview on the subject.

By Sreedhar K

Sep 22, 2017

The spread of the info is good but I think it could need a little more depth.

By Dixit R

Dec 18, 2017

Great coverage on data models, however the online scenario was little too extreme for me - esp. not coming gaming or digital background.

By SONJA A

Aug 20, 2017

I felt the assignment was a bit confusing, however, it was good to see how others responded to the same questions.

By Narjes M

Sep 11, 2017

some courses lacked a clear explanation. It would be better if the professor talked a bit slower in the videos and had there been more hands-on activities

By Marc-André S

Nov 30, 2017

Very Good course with rich content - I feel the final assignment could have been better structured.

By Yogesh P

Mar 17, 2018

Good Course covering Modelling systems

By Vinod S

Jan 19, 2018

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 Christoph R

Feb 13, 2018

Well presented course providing a wide overview of methods, tools and techniques to collect, analyze, manage and visualize data in big data scenarios.

By Antonia I

Jul 24, 2018

It was fine.

By Javed A

Apr 24, 2019

Very good Instructors. I have learnt a lot. Thanks to COURSERA.

By Viraj D

Aug 13, 2019

The explanation is very clear. More hands-on coding and practicing should have helped in learning the concept more profoundly.

By HEMANT K D

Jul 12, 2019

peer review is not good for any assignment.unnecessary delay and of no use.

By Marco A G O

Sep 10, 2019

More focus on theory than practice, but a nice course.

By Bhanu H

Oct 17, 2019

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 Alexander H

Dec 27, 2018

could be a bit more specific, especially for students with a classical DBMS background

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 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 Norman L

Aug 12, 2018

The material does not delve into enough depth. The syllabus often moves into the next topic just as it begins to break the surface of the current topic. I want more details about the architecture and implementation of each NoSQL database

By Sai L K

Oct 17, 2018

The course could have mentioned technologies which are more into the market currently and also it would have been better if there were some hands-on exercises on them as well.

By rkouatly

Aug 06, 2018

The course requires more practical part

By Waldo U

Dec 31, 2017

The last assignment is really vague and poorly written.

By Srikanth C

Nov 26, 2017

Fairly superficial treatment of a wide variety of topics. There was only a loose connection between some of the hands-on exercises and the lectures. The final assignment questions were not clear and the marking scheme was vague, which led to quite a bit of confusion while answering and grading it.

By Dan K

May 08, 2017

This is ok. There is some light theory and application of it, but even less hands-on. There is also too much of an emphasis on different big data systems and each brands specific uses. This is good information, but I think it could have been presented on a two page comparison chart. The next course is supposed to be more more hands-on, so I am looking forward to that

By Jorge F d l V G

Oct 23, 2016

The level of the exercises and quizzes don't reflect the content of the course.