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Вернуться к Big Data Modeling and Management Systems

Отзывы учащихся о курсе Big Data Modeling and Management Systems от партнера Калифорнийский университет в Сан-Диего

4.4
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Оценки: 2,427
Рецензии: 396

О курсе

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+....

Лучшие рецензии

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)

Фильтр по:

226–250 из 385 отзывов о курсе Big Data Modeling and Management Systems

автор: Sayed M

Oct 28, 2019

Excellently designed course content and organized topics. I like very much the way Ilkay and Amarnath explains on various subjects.

автор: Viraj D

Aug 13, 2019

The explanation is very clear. More hands-on coding and practicing should have helped in learning the concept more profoundly.

автор: Remco W

Jul 30, 2017

Thx for this course. It helped me in preliminary understanding of the big data modelling world. Fascinating, and intriguing.

автор: Mujtaba A

Oct 20, 2019

It was a good course for beginners of big data modeling. I benefited much from it from the theoretical perspectives.

автор: Olga T

Jul 05, 2017

There is a lot of useful information in the course but not enough practice to understand it better. And final peer-g

автор: Kshitij V

Nov 20, 2016

Great course which gives you insights into Big Data Management and various product differentiation used for Big Data

автор: SONJA A

Aug 20, 2017

I felt the assignment was a bit confusing, however, it was good to see how others responded to the same questions.

автор: Anis R

Dec 07, 2017

Informative course where are you are introduced to

Data Models

Semi Structured Data

Data Lake

Data Streaming

etc.

автор: Amr A

May 10, 2017

My only comment is that sometimes I feel that the speaker is talking quickly and the information is not clear

автор: Lei M

Aug 18, 2016

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

автор: Rita P

Aug 13, 2017

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

автор: Marc-André S

Nov 30, 2017

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

автор: Sabarish S

Nov 28, 2016

Some concepts can be simplified by using comprehensive examples.

The course is overall great!

автор: Vladimir A

Feb 02, 2017

Course is very good, and highly recommended.

More practice on this course will be appreciated

автор: Swadish V

Dec 05, 2019

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

автор: Hua W

Jan 02, 2018

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

автор: Oscar J M T

Sep 23, 2018

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

автор: guarav y

Aug 26, 2018

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

автор: sachin d

Jun 28, 2017

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

автор: Alireza A B

Aug 07, 2017

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

автор: Sreedhar K

Sep 22, 2017

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

автор: HEMANT K D

Jul 12, 2019

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

автор: Chandrakanth B

Dec 11, 2019

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

автор: nchang

Mar 11, 2019

nice course ,assignments are well explained and are well organised

автор: KRISHNA T M

Nov 21, 2016

Assum lectures! Cant except better than that challenging assignments.