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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:

1 - Big Data Modeling and Management Systems 的 25 个评论(共 352 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 David P G

Nov 15, 2019

No extra readings are provided to deepen the knowledge. Hands on are not maintained as outdate info is presented in the Hands On labs. Twitter HandsOn is not correctly explained.

创建者 Alberto R

Nov 19, 2019

Material is very high level with very little practice examples. The attached documentation doesn't really add anything to the course and the quizzes are quick and simple.

创建者 Sergey K

Oct 04, 2019

There is no enough practice, for final exam it is impossible to understand what is right and what is wrong even when making peer-review

创建者 Nick B

Nov 19, 2018

This is a good course to learn more about the big data environment and how things work within it.

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 Duc D

Dec 10, 2018

Good content!

创建者 Tejprakash U

Dec 10, 2018

course is well designed and structured.

创建者 André G P

Nov 07, 2018

The course presents a conceptual basis behind each of the tools demonstrated. It is important to know the best options when designing a project.

创建者 Luis A R

Nov 28, 2018

Excelente curso, falta un poco mas de uso práctico de las herramientas para manejo de Big Data.

创建者 Esteban E C

Nov 30, 2018

I learnt a lot of things with this course, It doesn't matter we are at 2018, stills pretty asertive with the topics. :)

创建者 Gustavo I M

Nov 14, 2018

that was more difficult than last one, but its so important to take an overview about every think

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 Guilherme S

Jan 17, 2019

Excelent course

创建者 VIJAY M

Jan 18, 2019

Great course, great Faculty....

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 José G d A L N

Nov 16, 2018

Incredible

创建者 Andrés F

Oct 10, 2016

Good to understand Big Data.

创建者 Jamal A

Apr 16, 2017

In this great course the instructors cover a broad range of topics related to big data models that is perfectly designed.

创建者 DONGMO M

Aug 08, 2017

Very useful course.

Needed only one week to finish the course even though I'm working full time.

创建者 Hector L

Sep 29, 2016

Great introduction to management systems. I would have more hands on exercises for the final week, but it was a great course overall.

创建者 Maria F O D

May 31, 2017

Excellent!!