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Retour à Big Data Modeling and Management Systems

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

2,886 évaluations
492 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

16 oct. 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 mars 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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326 - 350 sur 481 Avis pour Big Data Modeling and Management Systems

par Sayed M

28 oct. 2019

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

par Viraj D

13 août 2019

The explanation is very clear. More hands-on coding and practicing should have helped in learning the concept more profoundly.

par Remco W

30 juil. 2017

Thx for this course. It helped me in preliminary understanding of the big data modelling world. Fascinating, and intriguing.

par Mujtaba A

20 oct. 2019

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

par Olga T

5 juil. 2017

There is a lot of useful information in the course but not enough practice to understand it better. And final peer-g

par Kshitij V

19 nov. 2016

Great course which gives you insights into Big Data Management and various product differentiation used for Big Data


20 août 2017

I felt the assignment was a bit confusing, however, it was good to see how others responded to the same questions.

par Anis R

7 déc. 2017

Informative course where are you are introduced to

Data Models

Semi Structured Data

Data Lake

Data Streaming


par amr a s

10 mai 2017

My only comment is that sometimes I feel that the speaker is talking quickly and the information is not clear

par Lei M

18 août 2016

it's pretty good. I learn a lot, but some information is not enough, for example TF-IDF, and vector model

par Rita P

13 août 2017

Informative course and video lectures, but final peer graded assignment was lacking clear instructions.

par Marc-André S

29 nov. 2017

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

par Sabarish S

28 nov. 2016

Some concepts can be simplified by using comprehensive examples.

The course is overall great!

par Vladimir A

2 févr. 2017

Course is very good, and highly recommended.

More practice on this course will be appreciated

par Swadish V

5 déc. 2019

I am totally new to big data. This course give me an immense knowledge about modelling.

par Calvin D

13 sept. 2020

Graphs were a bit off and could be better but the overall overview of modeling was good

par Hua W

2 janv. 2018

Great material in this course. But the peer review assignment is a little bit weird...

par Oscar J M T

23 sept. 2018

I enjoyed this course, the topics was more clear and deep in contrast with level 1.

par guarav y

26 août 2018

Should have more and better explanations of various topic like vertica, astersikDB

par sachin d

28 juin 2017

Very nice explanation of different data models and Big Data software applications.

par Jeffrey K

16 sept. 2020

Information and explanations for some of the assignments could be much improved.

par Alireza A B

7 août 2017

Lectures where good but some effort is needed to have more practical assignments

par Sreedhar K

22 sept. 2017

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


12 juil. 2019

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

par Chandrakanth B

11 déc. 2019

I could able to learn how big data is helping in modeling and nanagement