Chevron Left
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
звезд
Оценки: 2,604
Рецензии: 428

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:

151–175 из 418 отзывов о курсе Big Data Modeling and Management Systems

автор: Dr. J P M

May 02, 2020

Excellent Course

автор: Andrea C

Mar 14, 2019

Excellent course

автор: Chenyang A

Feb 17, 2018

Wonderful course

автор: laksh b

Feb 19, 2017

excellent course

автор: jose l

Feb 15, 2017

Very Good course

автор: Guilherme S

Jan 17, 2019

Excelent course

автор: Liliana d C C M

Apr 17, 2019

muy buen curso

автор: Vijay B P

Feb 04, 2018

Great insights

автор: Jitender S V

Jun 21, 2017

GREAT COURSE!!

автор: Arijit G

May 20, 2019

v Good Couese

автор: Duc D

Dec 10, 2018

Good content!

автор: Vaibhav J

May 31, 2020

Great Course

автор: Andres H

Aug 03, 2019

Great Course

автор: Ajinkya B

Jun 10, 2018

Great Course

автор: Pijush K G

Jun 03, 2018

Good course.

автор: Enrique A

Aug 16, 2017

Great Course

автор: Damien G P

Dec 08, 2016

Good Course!

автор: Samir G

Nov 21, 2016

Very helpful

автор: Thuong D H

Sep 23, 2016

Good course!

автор: Khue N N

Jun 30, 2020

Good course

автор: Abdo S

Jun 19, 2020

really good

автор: N. B R r

May 31, 2020

Best course

автор: Pasawat S

Jun 19, 2019

very useful

автор: kundan k

Apr 14, 2018

nice course

автор: mudit

Nov 18, 2017

good course