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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
2,202 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:

151 - Big Data Modeling and Management Systems 的 175 个评论(共 352 个)

创建者 Arijit G

May 20, 2019

v Good Couese

创建者 Tcheutchoua S S L

May 19, 2019

This is wonderful course that explains that provides insight in to Management systems and how big data can be leveraged.

创建者 Md S F

Aug 20, 2019

best big data course

创建者 Mohamad K

Aug 20, 2019

Its extremely an important course to understand the different between DBMS and BIG data and why DBMS changed to BDMS. Its also give nice intro to unstructured data process such images and graph Nodes. Study this course will remove many questions in your mind.

创建者 Mohamed H A

Aug 25, 2019

Great thanks to the team worked the course.

创建者 Novan Z

Aug 26, 2019

Easy and understandable

创建者 Misty S

Aug 28, 2019

While the course content is very good, I feel this is not for beginners as one needs a basic knowledge of traditional relational databases for starters. The assignment helps clear the concepts and makes it understandable enough to work on it.

创建者 Emilio M

May 27, 2019

very good performace of instructors

创建者 Ali S

Sep 21, 2019

The course was great I learned basics of different big data visualizations. Sources of big data and different tools introduced which can be very helpful. The quizes and assignments helped me to better understand the course.

创建者 Mohammad M

Sep 30, 2019

Big Data modeling is important consideration while designing big data solution. Most of other online courses lacks this module. Thanks to coursera for bringing this course. Five star.

创建者 Kumar A

Oct 22, 2019

Well rounded course with theoretical discussion and hand-on sessions

创建者 Luis R G

Dec 05, 2019

Great course to learn and also practice how data can be visualized and how to model data, formats and how important is to choose appropriate data format and model

创建者 Sekhar T

Nov 22, 2019

Great learning experience!

创建者 Jimmy F

Dec 11, 2018

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

创建者 shreya k

Feb 15, 2019

Really nice course. Had a chance to rediscover my data modelling skills. Surely looking forward to more courses in this specialization.

创建者 Ilya P

Jan 24, 2019

Decent course, fair information. Although sometimes instructors seem to forget the audience they are talking to, so it is hard to power through some lectures.

创建者 Andrea P

Jan 24, 2019

The final assignment is unclear in some passages, but it is a very good introduction to the modelling and management systems overall.

创建者 Parinya H

Feb 28, 2019

Good content and recommend for modeling Big Data.

创建者 Jorge d l C

Feb 11, 2019

Basic for database developers

创建者 Apurva T

Feb 03, 2019

Course was very good, some concepts were a little tough to understand, like the graph network and other topics of first 3 weeks. But on the whole a very good course to understand basics of data modeling and management.

创建者 Wayne S

Apr 06, 2019

This material in this course seems to be based on a belief that the student has significantly more knowledge than assumed for the first course in the Big Data series. Because of this unfounded assumption, without regard to explanation, I have marked it down to four stars vice the five for the first course.

I think by providing the student with an adequate background, or additional resources, this course could easily be ranked as a five-star course.

In short, for no apparent reason, it quickly becomes more difficult than the first course; and instead, I wish it had been more of a natural transition from the first course.

创建者 Brian S

Apr 15, 2019

Expected more hands-on activities and more advanced tasks

创建者 nchang

Mar 11, 2019

nice course ,assignments are well explained and are well organised

创建者 Shuai M

Dec 23, 2018

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

创建者 Xing Z

Jul 09, 2018

The content is good overall, but the final project assignment is awful. It's not about whether the questions are too easy or too hard, it is the way in which the assignment is organized that seems confusing.