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學生對 加州大学圣地亚哥分校 提供的 Big Data Modeling and Management Systems 的評價和反饋

2,202 個評分
363 個審閱


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+....



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)


276 - Big Data Modeling and Management Systems 的 300 個評論(共 352 個)

創建者 JUAN A R R

May 11, 2017

poco contenido práctico

創建者 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.

創建者 Josep M

Nov 21, 2016

There has been very few on-hands training. It's still very very at an introductory level. At some points it goes very deep, for example with the vectors for a document, but with the rest stay at a very high level. Open an excel sheet can not be considered training ...

創建者 Naveen S

Aug 19, 2016

Although Content quality was good, the content is too much less and could have been easily integrated to first course or other course in specialisation.

Secondly Quiz were not challenging ,it was just too easy to pass, and this actually takes away the very reason they were employed in this course.

創建者 Yuzhen

Oct 11, 2016

The content of the course is very good, but the definitions and explanations are not straight forward.

創建者 Gregory S

Sep 29, 2017

Assignments were vague and hard to understand.

創建者 Kim U

Jan 17, 2018

Unfortunately, some of the videos are boring and difficult to understand, mostly because they fail to present the bigger picture, and through a lack of enthusiasm on behalf of the presenter.

創建者 ammar a m a

Dec 30, 2017

Homework's and Assignments are really harder than the course material it self, you need to go to other sources to keep up in my opinion...

創建者 Shahrin B S

Apr 12, 2018

i think the depth and how it is taught can be worked on. Theres insuffucient coverage to enable us to do the assignment.

創建者 rkouatly

Aug 06, 2018

The course requires more practical part

創建者 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

創建者 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.

創建者 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.

創建者 Seyyed E S

Jan 23, 2017

1. The course is very general and high level introduction.

2. During the lectures there are some examples that in some cases are presented as very small images and briefly. I personally could not understand some examples presented in week 5.

3. I found the hands-on lectures very helpful. I wish there was more that would delve into more examples in more details.

4. The course was very overpriced given the amount of information offered compared to other courses I have taken at coursera.


創建者 Jorge F d l V G

Oct 23, 2016

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

創建者 Marco F

Apr 24, 2018

Final assignemet is too hard.

創建者 Waldo U

Dec 31, 2017

The last assignment is really vague and poorly written.

創建者 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

創建者 David T

Oct 28, 2016

I really wish I could give this course more stars, the content is great and well delivered and at a perfect level for someone like me who last worked with big data sets when 20Mb was absolutely enormous and Windows 3.1 was cutting edge technology. But and this seems to run across the whole specialisation, support from the course team varies between very patchy and none at all. Technical questions aren't answered for days if at all.

創建者 Tushar S

Oct 04, 2016

Just about okay. Wouldn't recommend to pay for this.

創建者 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

創建者 Fanny S

Oct 03, 2016

This was my second course of six. It was so theoretical but at the final exam it required so much exercises. I propose enrich the course with exercises and hands on

創建者 Nicolás J C

Sep 21, 2017

The course has a lot of information that is completely useful for BD, I feel that it needs more hand-on exercises. For example, all those BDMS they listed are very useful, but it would have been more practical and fun to teach with an exercise, rather than 50+ slides.

創建者 Ali R

Jun 24, 2016

3.5+ star course. I hope by studying the following courses, contents of this course prove to be more practical.

創建者 Cédric L

Oct 21, 2016

Reasonably good, but less structured and organized that the first course.

I hope the next one will be better on this aspect.