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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
Оценки: 2,205
Рецензии: 364

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:

1–25 из 353 отзывов о курсе Big Data Modeling and Management Systems

автор: Nishant U

Feb 18, 2019

informative, descriptive with hands-on experience on updated tools.

автор: Sandeep D

Jul 16, 2019

Just a basic overview. Not much hands on

автор: David P G

Nov 15, 2019

No extra readings are provided to deepen the knowledge. Hands on are not maintained as outdate info is presented in the Hands On labs. Twitter HandsOn is not correctly explained.

автор: Alberto R

Nov 19, 2019

Material is very high level with very little practice examples. The attached documentation doesn't really add anything to the course and the quizzes are quick and simple.

автор: Sergey K

Oct 04, 2019

There is no enough practice, for final exam it is impossible to understand what is right and what is wrong even when making peer-review

автор: VIJAY M

Jan 18, 2019

Great course, great Faculty....

автор: Guilherme S

Jan 17, 2019

Excelent course

автор: SANJEEVE K G

Dec 19, 2018

Thanks lot to Coursera

given me new life to me

I want to go further in this course

автор: Dilara B

Feb 24, 2019

thank you

автор: Wiboon O

Mar 06, 2019

Very good lessons

автор: Andrea C

Mar 14, 2019

Excellent course

автор: Tejprakash U

Dec 10, 2018

course is well designed and structured.

автор: Mayank C

Apr 10, 2019

G

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a

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автор: Jose A R N

Sep 13, 2017

My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by the Teachers.

Congratulations to Coursera team and Teachers.

автор: Edgar R E B

Jun 20, 2017

Excelent.

автор: Ерилин Н

Jun 09, 2017

Perfect

автор: Ali A

Mar 01, 2018

It was an informative course, contents of the course were good

автор: Juan C H

Mar 28, 2017

Excellent professors! Everyday was a new learning experience!

автор: Prachi J

Dec 07, 2017

It was a very practical and detailed course. Thank you very much.

автор: alexander r

Oct 05, 2016

Thanks for the education! :)

автор: Carlos M P M

May 16, 2018

Simply, usefull and high valueable.

автор: sarsiz

May 13, 2017

I thoroughly enjoyed this course. The content was good and it definitely needs some changes. You should explain according to me in more detail about how using a particular method of data structure you can structure the data. The exercise was easy. And please add some more exercise so that learners need to work little harder to pass the quiz.

автор: loveneet k

Aug 21, 2017

Wonderful experience with you guys. Crisp overview about Big Data management. Decisions we should consider before taking Big data approaches. What are the available state of art exposure. It was great learning experience

автор: Guven Y

Nov 11, 2017

Great course, thank you for putting it together

автор: Antony C

Apr 05, 2018

A good presentation of available technologies around Big Data Modelling, theory and technical skills that are used in this scientific field.