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

2,183 notes
357 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


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.


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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176 - 200 sur 346 Examens pour Big Data Modeling and Management Systems

par Hua W

Jan 02, 2018

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

par Piero T

Nov 23, 2016

Peer Assignment is not too clear

par Olga T

Jul 05, 2017

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

par Sabarish S

Nov 28, 2016

Some concepts can be simplified by using comprehensive examples.

The course is overall great!

par Cecilia T

Mar 27, 2018

Great course! I got a very good general idea/concepts about BDMS

par Kshitij V

Nov 20, 2016

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

par Putcha L N R

Mar 07, 2018

Pretty good course. The peer corrected assignment is avoidable. Instead, a little bit of programming may be introduced! The course becomes extremely boring due to only theoretical aspects and quizzes.

par Lei M

Aug 18, 2016

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

par Yaniv G

Oct 31, 2016

Overall relevant and clear presentations. Course material quite general, but I guess this is expected from an introductory-level course.

Peer-reviewed assignment's instructions can be clearer.

par mike d

May 11, 2018

labs could be improved. not all the python features were easily installed, if at all. A few more labs would have been nice to reinforce the points.

par Lukáš B

Dec 01, 2017

Too much abstract topic to perceive all things.

par Muhammad N K

Feb 14, 2017

Best course on Various Big Data models and management systems.

par Álvaro G C

Oct 31, 2016

So useful and focus on main basic aspects.

par sachin d

Jun 28, 2017

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

par Vidal A C L

Sep 18, 2017

The course provided me a good understanding of the tools and insights on how data could be modeled and managed. I feel confident that I can use the knowledge at work.

par Federico A G C

Sep 25, 2016

Very good material and overview. However, still a little bit too basic. Fundamental management systems hands on should be much more intensive.

par Nitesh T

Oct 12, 2016

The course was very informative. One suggestion would be to include more practical exercises as it would help in internalizing the concepts better.

par Ismail A I

Feb 20, 2017

Very well explained

par Koyel G

Jan 13, 2017

This course captures the overview of Big data modelling concept in a very simple way. I found this course very useful. Instructors are good to explain the concepts. Though it would be good to add one or two (add-on or optional hands on exercises) handson for graph and tree data modelling.

par Anis R

Dec 07, 2017

Informative course where are you are introduced to

Data Models

Semi Structured Data

Data Lake

Data Streaming


par Jyothi k

Mar 19, 2017

good cource


Nov 21, 2016

Assum lectures! Cant except better than that challenging assignments.

par Harshan J

Aug 02, 2017

Excellent intro to the subject. The instructors explain the material well. I deducted one star for the grading treatment of the Peer-Graded Assignment (Catch the Pink Flamingo). It's understood that there is no one "right" answer, but peers should be given a range of possible answers.

par Fernando A S G

Jun 14, 2017

A clear introduction to some Big Data topics. Easy activities.

par Keith B

Jul 05, 2017

Good module.