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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
2,128 个评分
347 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:

326 - Big Data Modeling and Management Systems 的 336 个评论(共 336 个)

创建者 Robert P

Sep 25, 2016

Poorly designed assignment on data modeling did little to expand my knowledge on the topic. Which is a shame since the individual lectures were well done and very interesting. The "Pink Flamingo" peer-peer-reveiwed exercise needs to go.

创建者 Seth D

Aug 18, 2016

Very basic, the 'hands on' exercises are not very hands on and do not actually add much value

创建者 Niti

Nov 05, 2017

The content is only intended for people who have a background in this field. The peer graded assignment is completely unclear on instructions . the test is not at all well devised. I am regretting.

创建者 Piyush P

Sep 29, 2017

This course is the worst course on Coursera. I can't understand what it is trying to achieve.

创建者 Qian H

Jul 10, 2017

Bad course without many useful info

创建者 Leslie X

Jun 23, 2016

hard to follow not because it is difficult, but the lecture is only slides, texts, reading slides, very boring and not so many hand-on instruction. only thing i remember is the instructor's face after finish this class. Dont know why you add this into such a good specialist.

创建者 David W

Sep 06, 2016

Not worth your time or money.

创建者 Kjell L

Sep 12, 2016

The last peer review is really hard to do. Hard is because the wording is very ambiguous and not all understand how to review. There was a guy who answered with SQL query. This is hardcore since we have not learned that yet...

创建者 Massimo M

Jan 28, 2018

Sorry to say, but the course's topics are superficially explained. Teacher provided an overwhelming quantity of concept at the speed of light with very few practical examples. The entire course is not very explicative for someone that is not already a subject matter expert (that any case would define this course no more than a quick review). The assignment requirements are unclear and, in my opinion, teacher has not sufficiently explained the concepts required in order to straightforwardly perform it. More over, the assignment requires to use tables and graph, but the learning platform embedded editor does not allow to design this kind of graphical elements.

创建者 Kari S

Feb 13, 2017

Course material is very poor and did not give much support for doing assignments.

创建者 Deleted A

Aug 30, 2018

Disastrous set-up of grading assignment. Waiting for 7 days to get rated. No possibility to contact any Coursera staff directly.