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学生对 加州大学圣地亚哥分校 提供的 Big Data Modeling and Management Systems 的评价和反馈

4.4
2,168 个评分
353 个审阅

课程概述

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+....

热门审阅

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)

筛选依据:

1 - Big Data Modeling and Management Systems 的 25 个评论(共 343 个)

创建者 Nishant U

Feb 18, 2019

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

创建者 Sandeep D

Jul 16, 2019

Just a basic overview. Not much hands on

创建者 VIJAY M

Jan 18, 2019

Great course, great Faculty....

创建者 Guilherme S

Jan 17, 2019

Excelent course

创建者 Panagiotis T

Jan 16, 2019

Very useful, although some concepts (especially week 5) are a bit condensed and hard to remember without further practice.

创建者 SANJEEVE K G

Dec 19, 2018

Thanks lot to Coursera

given me new life to me

I want to go further in this course

创建者 Dilara B

Feb 24, 2019

thank you

创建者 Wiboon O

Mar 06, 2019

Very good lessons

创建者 Andrea C

Mar 14, 2019

Excellent course

创建者 Duc D

Dec 10, 2018

Good content!

创建者 Tejprakash U

Dec 10, 2018

course is well designed and structured.

创建者 Routhana L

Apr 10, 2019

As a undergraduate data analytics student, this course was an enlightening experience that complemented my more theoretical, less-applicational on campus course very well.

创建者 Mayank C

Apr 10, 2019

G

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e

a

t

创建者 Xiaotong C

Jul 25, 2018

A pretty straight-forward introduction to DBMS

创建者 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.

创建者 Edgar R E B

Jun 20, 2017

Excelent.

创建者 Ерилин Н

Jun 09, 2017

Perfect

创建者 Ali A

Mar 01, 2018

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

创建者 Juan C H

Mar 28, 2017

Excellent professors! Everyday was a new learning experience!

创建者 Prachi J

Dec 07, 2017

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

创建者 alexander r

Oct 05, 2016

Thanks for the education! :)

创建者 Carlos M P M

May 16, 2018

Simply, usefull and high valueable.

创建者 JAMSHAID

Dec 28, 2017

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

创建者 Darius T

Dec 31, 2017

Course gave a lot of useful information about data modeling. However the peer graded assignment was a bit dissapointment.

创建者 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.