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Volver a Big Data Modeling and Management Systems

Opiniones y comentarios de aprendices correspondientes a Big Data Modeling and Management Systems por parte de Universidad de California en San Diego

2,747 calificaciones
457 reseña

Acerca del Curso

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+....

Principales reseñas

16 de oct. de 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 de mar. de 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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376 - 400 de 446 revisiones para Big Data Modeling and Management Systems

por Himanshu s

31 de dic. de 2016

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

por Ali R

23 de jun. de 2016

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

por Rahul P

14 de jul. de 2019

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

por Yuzhen

10 de oct. de 2016

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

por Alexander H

27 de dic. de 2018

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

por Radu G

21 de dic. de 2016

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

por Jorge F d l V G

23 de oct. de 2016

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

por Congcong Z

7 de nov. de 2017

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

por Moses B R H

19 de jun. de 2017

Week 6 Peer graded assignment instruction should be more detailed.

por Manik S

11 de ago. de 2019


por Tze M H

7 de sep. de 2017

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

por Waldo U

30 de dic. de 2017

The last assignment is really vague and poorly written.

por Abu R

31 de jul. de 2017

great course

Hands on practice needs to do a better job

por Tushar S

4 de oct. de 2016

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

por Mohamed A

26 de oct. de 2020

The course graphical interface makes me confused.

por Diwen

19 de ago. de 2019

Peer-graded assignment is very badly described.

por Gustavo S

8 de ago. de 2016

More practical exercises should be recommended.

por Amit D

13 de jul. de 2020

Good Course. More practice sessions are needed

por Gregory S

29 de sep. de 2017

Assignments were vague and hard to understand.

por Abhishek V

31 de jul. de 2017

Final assignment needed to be more clear

por rkouatly

6 de ago. de 2018

The course requires more practical part

por Christine G

9 de ago. de 2017

Capstone assignment was disappointing.

por Marco F

24 de abr. de 2018

Final assignemet is too hard.

por JUAN A R R

11 de may. de 2017

poco contenido práctico

por Ra'ed A

7 de may. de 2019

Fix the mistakes!