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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
2,279 个评分
374 条评论

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:

226 - Big Data Modeling and Management Systems 的 250 个评论(共 363 个)

创建者 Swadish V

Dec 05, 2019

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

创建者 Hua W

Jan 02, 2018

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

创建者 Oscar J M T

Sep 23, 2018

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

创建者 guarav y

Aug 26, 2018

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

创建者 sachin d

Jun 28, 2017

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

创建者 Alireza A B

Aug 07, 2017

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

创建者 Sreedhar K

Sep 22, 2017

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

创建者 HEMANT K D

Jul 12, 2019

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

创建者 Chandrakanth B

Dec 11, 2019

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

创建者 nchang

Mar 11, 2019

nice course ,assignments are well explained and are well organised

创建者 KRISHNA T M

Nov 21, 2016

Assum lectures! Cant except better than that challenging assignments.

创建者 Wentao Z

Aug 18, 2016

Not too much useful and practical knowledge. full of basic concepts

创建者 Shuai M

Dec 23, 2018

good course to know different types of data models and some BDMS.

创建者 Cecilia T

Mar 27, 2018

Great course! I got a very good general idea/concepts about BDMS

创建者 Javed A

Apr 24, 2019

Very good Instructors. I have learnt a lot. Thanks to COURSERA.

创建者 leila M

Aug 27, 2016

it was nice but a bit complicated for beginner though i like it

创建者 Fernando A S G

Jun 14, 2017

A clear introduction to some Big Data topics. Easy activities.

创建者 Muhammad N K

Feb 14, 2017

Best course on Various Big Data models and management systems.

创建者 Brian S

Apr 15, 2019

Expected more hands-on activities and more advanced tasks

创建者 Jimmy F

Dec 11, 2018

I wanted to see more big data issues in the final test.

创建者 Marco A G O

Sep 10, 2019

More focus on theory than practice, but a nice course.

创建者 Parinya H

Feb 28, 2019

Good content and recommend for modeling Big Data.

创建者 Lukáš B

Dec 01, 2017

Too much abstract topic to perceive all things.

创建者 Álvaro G C

Oct 31, 2016

So useful and focus on main basic aspects.

创建者 Yogesh P

Mar 17, 2018

Good Course covering Modelling systems