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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
stars
Оценки: 2,240
Рецензии: 367

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)

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51–75 из 357 отзывов о курсе Big Data Modeling and Management Systems

автор: Diogo M

Jul 22, 2019

Nice Course, The possibility of use an cloudera image for hands on is so great for çearning

автор: Tandy S

Sep 22, 2017

It's a great source to understand what is Big Data from concepts to its technologies

автор: Suresh V

Apr 20, 2017

I really enjoy learning for the first time after a long time. I will keep learning.

автор: Vivek T

Jun 30, 2019

This course was so good which focuses on the basics and also on hands-on sessions.

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: Mohamed F

Mar 14, 2017

very nice and interesting course i recommend it for anyone start new in big data

автор: Sayed T S

Apr 13, 2017

It was a great course from the best place in the world and best instructors .

автор: igor s

Dec 18, 2016

Simply another great course within Coursera courses, thank you very much.

автор: Kumar A

Oct 22, 2019

Well rounded course with theoretical discussion and hand-on sessions

автор: Raunak S

Mar 14, 2018

great course for those who wish to go beyond the basics of big data.

автор: Fabio P

Dec 07, 2017

Good course to be introduced in the big data modelling environment.

автор: Juan H B S

May 26, 2018

Difficult topic, but interesting and the explanations were clear.

автор: Prachi J

Dec 07, 2017

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

автор: King W N

Nov 27, 2017

The content and assignments I've found so far are pretty spot on.

автор: agentVargas2012R

Nov 01, 2017

This course is amazing!! Amarath teaches this course like a boss.

автор: Jose A B A

Oct 24, 2016

The way for going through of material and classes is now better.

автор: ROHIT S

Oct 04, 2016

Course is very much intresting and i learnt so many new things.

автор: Ali A

Mar 01, 2018

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

автор: Lola B

Oct 10, 2017

Provides a got exposure to major big data management concepts.

автор: Fernando M

Apr 20, 2017

Excellent course, clear explanations and attention to details.

автор: Juan C H

Mar 28, 2017

Excellent professors! Everyday was a new learning experience!

автор: Juan C M L

Sep 06, 2018

Precise and complete approach to the data modeling subject.

автор: Linh N B

Sep 13, 2017

This course has really good hands-on examples and detail.

автор: JAMSHAID

Dec 28, 2017

Great course to get you started in the world of Big Data

автор: Alfonso A G

Oct 30, 2016

Really nice course learned much about MongoDB and Spark