Chevron Left
返回到 Big Data Modeling and Management Systems

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
2,121 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:

26 - Big Data Modeling and Management Systems 的 50 个评论(共 336 个)

创建者 Jose L R

Oct 13, 2018

Great course! Please update the hands on!

创建者 Luciano

Sep 05, 2018

This course is amazing!!! is helping me a lot in deepening my knowledge in data modeling and data architecture.

创建者 Juan C M L

Sep 06, 2018

Precise and complete approach to the data modeling subject.

创建者 Chetan A

Sep 06, 2018

Gave great undestanding on the big data.

创建者 Aldo F B

Apr 03, 2017

I've learned a lot of things about data models and new ways to process the information. I want to learn new knowledge of big data because I want to apply in my professional life

创建者 Juan C H

Mar 28, 2017

Excellent professors! Everyday was a new learning experience!

创建者 loveneet k

Aug 21, 2017

Wonderful experience with you guys. Crisp overview about Big Data management. Decisions we should consider before taking Big data approaches. What are the available state of art exposure. It was great learning experience

创建者 Srinivas B

Sep 26, 2016

Excellent

创建者 Guven Y

Nov 11, 2017

Great course, thank you for putting it together

创建者 Enrique G R

Jul 01, 2016

Very Good

创建者 Fernando G d L V

Aug 29, 2017

Great intro horizon to discover new technologies.

创建者 Jose A B A

Oct 24, 2016

The way for going through of material and classes is now better.

创建者 Clement F

Oct 10, 2017

Just what I needed. Thank you IIkay and Amarnath.

创建者 Antony C

Apr 05, 2018

A good presentation of available technologies around Big Data Modelling, theory and technical skills that are used in this scientific field.

创建者 EDGARD M M

Feb 02, 2017

muito bom

创建者 Thuong D H

Sep 23, 2016

Good course!

创建者 Juan H B S

May 26, 2018

Difficult topic, but interesting and the explanations were clear.

创建者 Hector d J G C

Oct 23, 2016

it was a little too slow but is ok, specially with beginners as me.it can be a little bit more interactive or didactical.

创建者 Jose A R N

Sep 13, 2017

My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by the Teachers.

Congratulations to Coursera team and Teachers.

创建者 Edgar R E B

Jun 20, 2017

Excelent.

创建者 Prachi J

Dec 07, 2017

It was a very practical and detailed course. Thank you very much.

创建者 Linh N B

Sep 13, 2017

This course has really good hands-on examples and detail.

创建者 alexander r

Oct 05, 2016

Thanks for the education! :)

创建者 JAMSHAID

Dec 28, 2017

Great course to get you started in the world of Big Data

创建者 Darius T

Dec 31, 2017

Course gave a lot of useful information about data modeling. However the peer graded assignment was a bit dissapointment.