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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
2,791 évaluations
468 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)

Filtrer par :

326 - 350 sur 457 Avis pour Big Data Modeling and Management Systems

par Lei M

18 août 2016

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

par Rita P

13 août 2017

Informative course and video lectures, but final peer graded assignment was lacking clear instructions.

par Marc-André S

29 nov. 2017

Very Good course with rich content - I feel the final assignment could have been better structured.

par Sabarish S

28 nov. 2016

Some concepts can be simplified by using comprehensive examples.

The course is overall great!

par Vladimir A

2 févr. 2017

Course is very good, and highly recommended.

More practice on this course will be appreciated

par Swadish V

5 déc. 2019

I am totally new to big data. This course give me an immense knowledge about modelling.

par Calvin D

13 sept. 2020

Graphs were a bit off and could be better but the overall overview of modeling was good

par Hua W

2 janv. 2018

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

par Oscar J M T

23 sept. 2018

I enjoyed this course, the topics was more clear and deep in contrast with level 1.

par guarav y

26 août 2018

Should have more and better explanations of various topic like vertica, astersikDB

par sachin d

28 juin 2017

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

par Jeffrey K

16 sept. 2020

Information and explanations for some of the assignments could be much improved.

par Alireza A B

7 août 2017

Lectures where good but some effort is needed to have more practical assignments

par Sreedhar K

22 sept. 2017

The spread of the info is good but I think it could need a little more depth.

par HEMANT K D

12 juil. 2019

peer review is not good for any assignment.unnecessary delay and of no use.

par Chandrakanth B

11 déc. 2019

I could able to learn how big data is helping in modeling and nanagement

par RAHUL V

6 juil. 2020

The course is fine but the accent of tutor is difficult to understand

par nchang

11 mars 2019

nice course ,assignments are well explained and are well organised

par KRISHNA T M

21 nov. 2016

Assum lectures! Cant except better than that challenging assignments.

par Wentao Z

18 août 2016

Not too much useful and practical knowledge. full of basic concepts

par Shuai M

23 déc. 2018

good course to know different types of data models and some BDMS.

par Cecilia T

27 mars 2018

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

par Javed A

23 avr. 2019

Very good Instructors. I have learnt a lot. Thanks to COURSERA.

par leila M

27 août 2016

it was nice but a bit complicated for beginner though i like it

par Fernando A S G

14 juin 2017

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