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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
2,201 个评分
363 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:

201 - Big Data Modeling and Management Systems 的 225 个评论(共 352 个)

创建者 Koyel G

Jan 13, 2017

This course captures the overview of Big data modelling concept in a very simple way. I found this course very useful. Instructors are good to explain the concepts. Though it would be good to add one or two (add-on or optional hands on exercises) handson for graph and tree data modelling.

创建者 Anis R

Dec 07, 2017

Informative course where are you are introduced to

Data Models

Semi Structured Data

Data Lake

Data Streaming

etc.

创建者 Jyothi k

Mar 19, 2017

good cource

创建者 KRISHNA T M

Nov 21, 2016

Assum lectures! Cant except better than that challenging 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 Marc-André S

Nov 30, 2017

Very Good course with rich content - I feel the final assignment could have been better structured.

创建者 Yogesh P

Mar 17, 2018

Good Course covering Modelling systems

创建者 Aman S

Aug 04, 2018

No practical approach for BDMS

创建者 Devon E

Aug 10, 2018

Another excellent course.

The only thing I would have liked (and maybe this comes later in the upcoming courses) is for the course to take a look inside the python and Lucence scripts so that we could be talked through how these are actually processing the data with guidance.

创建者 Martin O

Jul 21, 2018

Troubles when it comes to the student reviwed tasks, sometimes the puntuation doesn't correspond and is very rare getting a right feedback .

创建者 guarav y

Aug 26, 2018

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

创建者 Snehal B

Sep 08, 2018

I would rate it 4/5.

First 4 weeks, we can still relate and keep up to pace with context. But week 5 onwards it becomes difficult to understand. Please come up with more real life scenarios to explain different BDMS models.

创建者 Piero T

Nov 23, 2016

Peer Assignment is not too clear

创建者 Olga T

Jul 05, 2017

There is a lot of useful information in the course but not enough practice to understand it better. And final peer-g

创建者 Yaniv G

Oct 31, 2016

Overall relevant and clear presentations. Course material quite general, but I guess this is expected from an introductory-level course.

Peer-reviewed assignment's instructions can be clearer.

创建者 mike d

May 11, 2018

labs could be improved. not all the python features were easily installed, if at all. A few more labs would have been nice to reinforce the points.

创建者 Lukáš B

Dec 01, 2017

Too much abstract topic to perceive all things.

创建者 Nicolas I

Nov 17, 2016

Great course! Although I think it would be a good idea to have all the HANDS ON instructions downloadable as a PDF to keep in personal files.

创建者 Muhammad N K

Feb 14, 2017

Best course on Various Big Data models and management systems.

创建者 Álvaro G C

Oct 31, 2016

So useful and focus on main basic aspects.

创建者 Siphephelo B G

Jul 08, 2018

I loved how it built on knowledge obtained from the previous course and even had a recap video as a reminder of what was covered then. My only real gripe is how the felt like a bit of a curved ball - it was tricky to understand what was required of us. Overall, the course content is solid and I would recommend it to anyone

创建者 David R D N

Nov 23, 2016

Pretty good overall, although some exercises are a bit difficult to understand from the descriptions and instructions given, some graphs and initial reference documentation for exercises might help

创建者 Amol G

Oct 09, 2017

Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.

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 sachin d

Jun 28, 2017

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