Chevron Left
返回到 Big Data Modeling and Management Systems

學生對 加州大学圣地亚哥分校 提供的 Big Data Modeling and Management Systems 的評價和反饋

2,183 個評分
357 個審閱


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+....



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.


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)


101 - Big Data Modeling and Management Systems 的 125 個評論(共 346 個)

創建者 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.


Oct 04, 2016

Course is very much intresting and i learnt so many new things.

創建者 Maria F O D

May 31, 2017


創建者 Andrés F

Oct 10, 2016

Good to understand Big Data.

創建者 Damien G P

Dec 08, 2016

Good Course!

創建者 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.

創建者 Cosmas A

Jun 19, 2017

Learning greatly here.

創建者 Adit M

Feb 08, 2017

Very informative course.

創建者 Мухамбетов Р А

Oct 19, 2016


創建者 Alfonso A G

Oct 30, 2016

Really nice course learned much about MongoDB and Spark

創建者 Matías D F

Jul 03, 2017

Full content. Great Material

創建者 MNIF A

Feb 15, 2018

i loved this course

創建者 Lorie S

May 25, 2018

Interesting Course.

創建者 Vincent R

Feb 05, 2018

Great course for the beginner I am! The short video concept is a good and convenient learning tool. The final capstone exercise was challenging. Really enjoy it. I look forward to begin the next course of the specialization.

創建者 Rozina S

May 14, 2018

Thank you Coursera for your help and support.

創建者 King W N

Nov 27, 2017

The content and assignments I've found so far are pretty spot on.


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.

創建者 Assaduzzaman N

Sep 26, 2017

This is a very good course in most aspects.

創建者 Marcos

Apr 01, 2018

Useful to know fundamentals of BDMS.

創建者 SKK

Dec 09, 2017

Very good starting point for Data Modeling!!

創建者 Julien C

Dec 03, 2017

Good course! The last exam could be better.

創建者 Luis M M R

Dec 22, 2017

very good!

創建者 Vijay B P

Feb 04, 2018

Great insights

創建者 Santiago E L

Jan 04, 2018

You guys are rock stars

創建者 Sunil K S

Jul 24, 2017

excellent coverage of basic models and good hands on