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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

4.4
étoiles
2,885 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

MP
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.

VG
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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426 - 450 sur 481 Avis pour Big Data Modeling and Management Systems

par Rizvan N

30 déc. 2020

The cloudera vm has serious bugs. Please update the OS so that yum works. Could not resolve it so could not do some hands on exercises

par Abhinav S

3 juil. 2017

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

par Cédric L

21 oct. 2016

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

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

par Ivan S

13 févr. 2017

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

par Shahrin S

12 avr. 2018

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

par Himanshu s

31 déc. 2016

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

par Ali R

23 juin 2016

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

par Rahul P

14 juil. 2019

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

par Yuzhen

10 oct. 2016

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

par Michael J

22 déc. 2020

I think that another option of Virtual Machine is necessary and another option of cloudera

par Alexander H

27 déc. 2018

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

par Radu G

21 déc. 2016

The final test has little to do with the course. You must do extra study to respond.

par Jorge d l V G

23 oct. 2016

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

par Congcong Z

7 nov. 2017

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

par Tinu E

17 déc. 2020

This course needs to be updated, especially the twitter feed practical

par Moses B R H

19 juin 2017

Week 6 Peer graded assignment instruction should be more detailed.

par Manik S

11 août 2019

LOW QUALITY VIDEOS, OBSOLETE RESOURCES, VIRTUALLY NO TECH SUPPORT

par Tze M H

7 sept. 2017

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

par Waldo U

30 déc. 2017

The last assignment is really vague and poorly written.

par Abu R

31 juil. 2017

great course

Hands on practice needs to do a better job

par Tushar S

4 oct. 2016

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

par Mohamed A

26 oct. 2020

The course graphical interface makes me confused.

par Diwen

19 août 2019

Peer-graded assignment is very badly described.

par Gustavo S

8 août 2016

More practical exercises should be recommended.

par Amit D

13 juil. 2020

Good Course. More practice sessions are needed