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

4.4
stars
2,993 ratings

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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26 - 50 of 508 Reviews for Big Data Modeling and Management Systems

By NOVELLA P

Oct 12, 2017

Course content clear and concise- but assignment directions were too open to interpretation. Also presentation of the assignment results for review where the answer was requested in table format the table overrides the scoring section and the visibility of the responses appeared scrambled. Peer review on week 6 assignment needs a rethink-this need some process of challenge where a mentor or instructor can intervene to correct faulty peer reviews

By Jens L

Nov 16, 2017

It's too superficial and the required skill level and required background knowledge is changing from video to video. Especially the walkthrough of different named database systems, was to deep, and I didnt get much out of that. I was like if you just like trying to teach me how to operate my tv by walking through the complete manual from start to end. I was often wondering, how is this relevant in this module...

By Ryan H

Jun 7, 2017

My primary concern with this course are the mentors and the final assignment. The final assignment was particularly vague in exactly what it wanted and when asked on the forum, mentors would respond with comments like "you should just understand it." The mentors through each week were altogether unhelpful and that culminated in a vague final assignment with little way to understand it without a bit of guessing.

By Nimal J K

Jan 10, 2017

The course content was not very appealing. Explanations were not that engaging. What I really missed was the actual practical aspect where you don't work with command prompt but an much more user friendly interface that is more up to date with current standards.

By Stanislav D

Jan 24, 2019

Final task has numerous problems ranging from Coursera site formatting limitations that have not been accounted for to lack of master-answer to peers (e.g. peers unfamiliar with industry can't grade what they don' know)

By Robert H

Sep 8, 2017

Tedious exercises through VM where instructions oftentimes do not work out of the box. It is a hassle to download the slides in small sets and their design awful. Definitely one of the worse courses I have taken.

By Francisco J

Aug 6, 2017

Lectures are not really useful for real examples. Indeed final task related to the graphs is not explained in the lectures about how to declare properties for nodes/edges in a graph.

By Floyd C

Dec 31, 2018

Compared to the first course this one is not as good, especially Week 5. You can see lots of people complaining about week 5 which does not make sense to the students at all.

By JOHN G

May 16, 2020

Slides were minimally helpful, lectures did not track well with quizzes, assignments were poorly designed and difficult to imput into the tool.

By Guillaume V

Jun 16, 2017

Disappointing course. Poor language level, many mistakes (grammar, words, in examples shown). Poorly explained and confusing final assignment

By Andrew C

Dec 11, 2018

Level of content between week four and five is vastly gapped. Too big of a jump. No explanation of BDMS and DBMS in between

By Rita K

Nov 16, 2016

Too high level. Last assignment too ambiguous, peer assessment was completely random and not reliable to pass the course.

By Lorna R

Sep 8, 2022

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

By James K

Feb 11, 2017

Too simple, no programming, just theory.

By Irfan S B

Sep 26, 2017

Very basic and lack real time

By PAULO F D O

Feb 10, 2022

The final assignment has barely any relation to what is actually taught. The course does not really prepares you for each. Or you previously knows how to do it, or you have to search for other sources and find out in other courses and foruns. The course is essentially an intro of an intro of everything it tries to teach. It does not teach you how to really use anything useful for work or study. They only present and say what some tools can do. Very very superficial course. It opens to many fronts. It should be named "An Introduction to General concepts and tools of Big Data management".

By J H

Aug 30, 2021

The cloudera vm used by the course requires login credentials (which students do not have) in order to correctly update and install the software using the commands given. Looking at the forum, there have been problems with software updates for quite some time, but as of Feb this year students are unable to do the updates needed outright per https://docs.cloudera.com/documentation/enterprise/release-notes/topics/cm-retrofit-auth-downloads.html. The short version, you will notice you are asked to use librasheets and will how no ability to do so.

By Marshall

Aug 5, 2021

The state of this course is unacceptable for anyone not familiar with troubleshooting LInux. The software is woefully outdated. I do not recommend this course until the instructors apply the needed updates. Coursera should probably remove this course, considering it's a paid service.

By Leslie X

Jun 23, 2016

hard to follow not because it is difficult, but the lecture is only slides, texts, reading slides, very boring and not so many hand-on instruction. only thing i remember is the instructor's face after finish this class. Dont know why you add this into such a good specialist.

By Robert P

Sep 25, 2016

Poorly designed assignment on data modeling did little to expand my knowledge on the topic. Which is a shame since the individual lectures were well done and very interesting. The "Pink Flamingo" peer-peer-reveiwed exercise needs to go.

By Steve T

Sep 16, 2023

Course instructors show no interest in answering questions in the forums regarding technical issues that students are having running the systems required to complete the course. There are unanswered posts from several months ago.

By Kjell L

Sep 12, 2016

The last peer review is really hard to do. Hard is because the wording is very ambiguous and not all understand how to review. There was a guy who answered with SQL query. This is hardcore since we have not learned that yet...

By John F

Aug 10, 2020

Maybe this course would have made more sense at the end of the specialization. But here it just seems like an unnecessary spike in difficulty to understand (not necessarily difficulty to pass) due to the poor lecturing style.

By William R

Oct 5, 2016

As a manager in an IT consultancy, I can't justify sending my personnel through this course, even at $69 per course. The amount of information gained is very thin and does not move one toward being productive.

By Niti G

Nov 5, 2017

The content is only intended for people who have a background in this field. The peer graded assignment is completely unclear on instructions . the test is not at all well devised. I am regretting.