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

4.4
stars
2,928 ratings
502 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 16, 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 27, 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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451 - 475 of 493 Reviews for Big Data Modeling and Management Systems

By Radu G

Dec 21, 2016

The final test has little to do with the course. You must do extra study to respond.

By Jorge d l V G

Oct 23, 2016

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

By Congcong Z

Nov 7, 2017

it would be better if there is person to person explanation of homework

By Tinu E

Dec 17, 2020

This course needs to be updated, especially the twitter feed practical

By Moses B R H

Jun 19, 2017

Week 6 Peer graded assignment instruction should be more detailed.

By Manik S

Aug 11, 2019

LOW QUALITY VIDEOS, OBSOLETE RESOURCES, VIRTUALLY NO TECH SUPPORT

By Tze M H

Sep 7, 2017

Some concepts are too abstract, find it hard to understand.

By Waldo U

Dec 30, 2017

The last assignment is really vague and poorly written.

By Abu R

Jul 31, 2017

great course

Hands on practice needs to do a better job

By Tushar S

Oct 4, 2016

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

By Mohamed A

Oct 26, 2020

The course graphical interface makes me confused.

By Diwen

Aug 19, 2019

Peer-graded assignment is very badly described.

By Gustavo S

Aug 8, 2016

More practical exercises should be recommended.

By Amit D

Jul 13, 2020

Good Course. More practice sessions are needed

By Gregory S

Sep 29, 2017

Assignments were vague and hard to understand.

By Abhishek V

Jul 31, 2017

Final assignment needed to be more clear

By Rand E

Aug 6, 2018

The course requires more practical part

By Christine G

Aug 9, 2017

Capstone assignment was disappointing.

By Marco F

Apr 24, 2018

Final assignemet is too hard.

By Juan A R

May 11, 2017

poco contenido práctico

By Ra'ed A

May 7, 2019

Fix the mistakes!

By Ruowang Z

Apr 24, 2020

too simplistic

By Barend M

Jul 13, 2017

.

By CJ F

Apr 6, 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.

By Nathaniel M

Aug 26, 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.