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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

4.4
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2,898 calificaciones
494 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

MP
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.

VG
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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426 - 450 de 484 revisiones para Big Data Modeling and Management Systems

por Aude M

5 de ene. de 2018

Very interesting but I struggled with some of the content: the level jumps suddenly, and the course lacks some clear examples of application.

por Konstantin K

14 de feb. de 2018

I'm not sure I got the topic Big Data Modeling and Management Systems from material of the course. Quite redundant and dissimilar lectures

por ammar a m a

30 de dic. de 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...

por Rizvan N

30 de dic. de 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

por Abhinav S

3 de jul. de 2017

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

por Cédric L

21 de oct. de 2016

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

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

por Ivan S

13 de feb. de 2017

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

por Shahrin S

12 de abr. de 2018

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

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 Michael J

22 de dic. de 2020

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

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 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 Tinu E

17 de dic. de 2020

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

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

LOW QUALITY VIDEOS, OBSOLETE RESOURCES, VIRTUALLY NO TECH SUPPORT

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.