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Bewertung und Feedback des Lernenden für Big Data Modeling and Management Systems von University of California San Diego

2,956 Bewertungen

Über den Kurs

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+....



16. Okt. 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.


27. März 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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476 - 500 von 500 Bewertungen für Big Data Modeling and Management Systems

von Ra'ed A

7. Mai 2019

Fix the mistakes!

von Ruowang Z

24. Apr. 2020

too simplistic

von Barend M

13. Juli 2017


von CJ F

6. Apr. 2022

If I could get in a time machine and go back to 2015, and do this course then, this would have been a five star (or maybe four and a half) course. It's an introduction to the ideas behind the technologies and I think back then it would been really really good. The theoretical underpinnings are still good. Clearly a lot of work and attention went into it.

Sadly, the course has been left to fester and rot. There don't appear to have been any updates since around 2017, and a certain amount of the coursework is impossible with the tools they provide you with. Be prepared to have to figure out how old Python programs work in Python 2 and work around the fact that their ClouderaVM cannot get vital updates that you NEED in order to the exercises. It will be an uphill battle trying to get the tech to work. It's so so sad as this clearly was a labour of love from the designers, and there are a few things - like the real time Twitter plot graph - that would have been amazing when they worked. Now, alas, the modules and the authorisations are so different that you will have to do a lot of reasonably advanced work to get any of it even operate at a minimum level.

The discussion forums are useful to an extent, but no-one from the course seems to have paid much attention to it. Think of it as an old abandoned funfair that used to be amazing, where you can still go on some of the rides but where some of them only work if you've brought a spanner and some tech know-how.

von Nathaniel M

26. Aug. 2021

This is a difficult subject to teach in an online introduction course, but this was assembled poorly and in need of a reboot. The lectures appear dated, lengthy, and lack much substance (outside of the final lecture). The final, peer graded assessment is a joke. 5/6 peer assignments I graded were the exact, word-for-word copied answers from an internet source. I received a failing review on my first submission with 0 explanation for the grades. I spent the majority of my time in this course not gaining knowledge about BDM, but overcoming bugs associated with running outdated Oracle VM and petitioning to get valid reviews of my final assessment. Easily the worst course taken so far on Coursera.

von Othmane B

12. Nov. 2016

The course a materials are interesting and with significant value, same comment on the teachers, this would be perfect if the third party(the VM) is working fine, I can't say I'm happy about the course where the frustration is probably the right word describing my feeling right now, wish me luck for this week, I might pass might not ......

von Erik P

3. Okt. 2017

I think some real polish needs to be applied to the final assignment in this course. Some of the questions are not formatted well for the coursera web site.. and even on my macbook pro retina I am seeing text overrunning the text box. Really want to see UCSD represented better

von Izabelle A

10. Apr. 2019

Cannot finish Twitter activities as commands shown in the video apparently don´t work with the most recent pyhton version. I am very disappointed about it, since I am mostly focused on Twitter-related data.

von Abdulrahman A T

20. Juli 2020

The course does not add much knowledge if you came from computer science field. It touches the very basics. The exercises are simple, and the final project is very vague.

von Allyson D d L

15. Okt. 2021

Very poor in practical content. The maximum you will see is to run done python scripts in the virtual machine; But you can also run in your personal PC.

von akhil r k

24. Okt. 2016

I wish the courses are more project oriented. This is a very good introduction but, atleast you could provide some optional projects or some tasks.

von Otto E

21. Sep. 2021

The content is good but this course needs an extensive update of the course material (labs and power point presentations).

von Ján M

18. Apr. 2021

I spent a lot of time setting up VM, as packages from python and libreoffice wasn't working

von Enric P C

8. Feb. 2019

I have found this course less attractive to follow than other Big Data courses

von Riccardo P

20. Apr. 2018

Barely an introduction, it could be somehow merged with the course #1


24. Mai 2020

some concepts are too concisely explained to get on clearly

von Lorna R

8. Sep. 2022

The material seem buggy. I cannot proceed in the exercise.

von Lucas A H

18. Jan. 2019

Too simple for a persona that's already in the BI industry

von Joaquim P

11. Juni 2019

Too simple.

von Andrey A

16. Apr. 2021

Worst course I had ever. The hands-on materials are out of date. The teachers are not available for discussions. The course in unclear. Even, the final project description is ambiguous. Waste of time and money

von Felipe D

5. Feb. 2021

It uses technologies which has no support, and the activities where there are problems reported by the users, are days ago abandoned by the moderators.

von Somya T

28. Apr. 2021

Very old course and all hands on materials are outdated and you spend more time figuring it out than the actual course

von Shashank P

5. Aug. 2021

Too slow and i didnt get a certificate after completing course 1.

von Fabian J

16. Juli 2022

Setup with the virtual enviroment does not work.

von David W

6. Sep. 2016

Not worth your time or money.