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Avis et commentaires pour l'étudiant pour Big Data Modeling and Management Systems par Université de Californie à San Diego

4.4
2,124 notes
347 avis

À propos du cours

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+....

Meilleurs avis

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)

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251 - 275 sur 336 Examens pour Big Data Modeling and Management Systems

par Gustavo S

Aug 08, 2016

More practical exercises should be recommended.

par Cyprien H

Dec 25, 2017

The course in itself is quite good, although there are many concepts presented in a few videos only.

The bug flaw is the final peer review assignment. Questions are unclear; It is a pain to complete. When reviewing your peers, expect the same issues: you are left alone to interpret if what was done corresponds to what is expected. I guess instructors intended to make something simple but it is definitely not.

And the most frustrating thing is that this has been a recurring complain (see the forum), and nothing has changed so far.

par 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.

par Jorge F d l V G

Oct 23, 2016

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

par Marco F

Apr 24, 2018

Final assignemet is too hard.

par Waldo U

Dec 31, 2017

The last assignment is really vague and poorly written.

par Tushar S

Oct 04, 2016

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

par 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

par Tamás-Marosi P

Sep 05, 2017

The course was okay, but the last Peer-graded Assignment was totally unclear. A lot of other students reported this problem on the discussion forum, but nobody handled this. Some students tried to ask questions, but any menthor answered back in merit. Of course if nobody understand the task then how can we rate each other? It is not fair. I think some examples can help on this problem.

par Tamalika M

Nov 21, 2016

This course offers very useful high level overview of concepts and ideas which make you feel confident in the long run. However, the course is extremely basic and does not go deep beyond the high level concepts. The hands on exercises are boring and do not engage students. The course needs to be improved to make it more useful for students. This course is not very worthy of the money.

par Paul F

May 03, 2018

Good ogeneric versight, the excercise of week 6 is not very well elaborated and the peer review instructions/scoring possibilities are not adequate (mostly all or nothing scoring).

par 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 ...

par 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.

par Juan P

Jul 30, 2016

A good course taking into account that it does not require previous knowledge. I am giving "only" 3 stars because for a basic (no previous requirements) course I would expect much more additional readings. On the other hand, if you have programming or database experience you will find some topics too "basic".

I have liked it more than the first course on the specialization but I would expect more details (I think general topics are well explained).

par Abhinav S

Jul 04, 2017

The course is not very detailed and misses to explain key concepts. Terminology is used extensively without much explanation.

par JUAN A R R

May 11, 2017

poco contenido práctico

par 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.

par Yuzhen

Oct 11, 2016

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

par Himanshu s

Dec 31, 2016

Not Very relevant and detailed as the previous course. The content is not as clear and simple as previous course

par Clemens W

Nov 20, 2016

The course takes a broad approach to the subject.

What I miss: the study material should provide more and better organized (theoretical) information (e.g. on topcis like database design, data structures, etc.)

What I like: presenting of current software projects around big data

par Mike D

Apr 13, 2017

Good information overall, but the "peer graded" assignment at the end is poorly designed and seems unnecessarily arbitrary. Not a clear value add over a "final exam" format to justify waiting days for someone to "grade" your work. Instructions for this assignment are poorly written and unclear - for example, completely NOT clear you are asking us to identify a primary key versus stating there is no primary key, etc.

par Sergey K

Sep 09, 2016

Peer-graded assignments are bad for multiple reasons. Most important one -- If I'm paying for this course I expect my work will be verified by skilled people, not by other "students".

par Ivan S

Feb 13, 2017

IMHO it's better to reduce the scope but provide more details of key technologies. Final assignment is not well explained.

par Tze M H

Sep 07, 2017

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

par Moses B R H

Jun 19, 2017

Week 6 Peer graded assignment instruction should be more detailed.