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Big Data Modeling and Management Systems に戻る

カリフォルニア大学サンディエゴ校 による Big Data Modeling and Management Systems の受講者のレビューおよびフィードバック

4.4
2,522件の評価
408件のレビュー

コースについて

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+....

人気のレビュー

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)

フィルター:

Big Data Modeling and Management Systems: 326 - 350 / 397 レビュー

by ammar a m a

Dec 30, 2017

Homework's and Assignments are really harder than the course material it self, you need to go to other sources to keep up in my opinion...

by Abhinav S

Jul 04, 2017

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

by Cédric L

Oct 21, 2016

Reasonably good, but less structured and organized that the first course.

I hope the next one will be better on this aspect.

by 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.

by Shahrin B S

Apr 12, 2018

i think the depth and how it is taught can be worked on. Theres insuffucient coverage to enable us to do the assignment.

by 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

by Ali R

Jun 24, 2016

3.5+ star course. I hope by studying the following courses, contents of this course prove to be more practical.

by Rahul P

Jul 14, 2019

The practical contents were too less. Too much of theory does tend to make the course a little bit boring...

by Yuzhen

Oct 11, 2016

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

by Alexander H

Dec 27, 2018

could be a bit more specific, especially for students with a classical DBMS background

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 F 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 07, 2017

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

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 07, 2017

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

by Waldo U

Dec 31, 2017

The last assignment is really vague and poorly written.

by Abu R

Aug 01, 2017

great course

Hands on practice needs to do a better job

by Tushar S

Oct 04, 2016

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

by Diwen

Aug 19, 2019

Peer-graded assignment is very badly described.

by Gustavo S

Aug 08, 2016

More practical exercises should be recommended.

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 rkouatly

Aug 06, 2018

The course requires more practical part

by Christine G

Aug 09, 2017

Capstone assignment was disappointing.