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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

4.4
2,183 个评分
357 个审阅

课程概述

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+....

热门审阅

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)

筛选依据:

226 - Big Data Modeling and Management Systems 的 250 个评论(共 346 个)

创建者 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.

创建者 Sreedhar K

Sep 22, 2017

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

创建者 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.

创建者 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.

创建者 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

创建者 Marc-André S

Nov 30, 2017

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

创建者 Yogesh P

Mar 17, 2018

Good Course covering Modelling systems

创建者 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.

创建者 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.

创建者 Antonia I

Jul 24, 2018

It was fine.

创建者 Javed A

Apr 24, 2019

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

创建者 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.

创建者 HEMANT K D

Jul 12, 2019

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

创建者 Marco A G O

Sep 10, 2019

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

创建者 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.

创建者 Mujtaba A

Oct 20, 2019

It was a good course for beginners of big data modeling. I benefited much from it from the theoretical perspectives.

创建者 Kamlesh K

Oct 27, 2019

Good Course! Explain a lot about the Modeling and Management System in Big Data. Also, give practical experience in Big Data Management and play around models

创建者 Sayed M

Oct 28, 2019

Excellently designed course content and organized topics. I like very much the way Ilkay and Amarnath explains on various subjects.

创建者 Alexander H

Dec 27, 2018

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

创建者 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.

创建者 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.

创建者 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

创建者 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.

创建者 rkouatly

Aug 06, 2018

The course requires more practical part

创建者 Waldo U

Dec 31, 2017

The last assignment is really vague and poorly written.