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Big Data Modeling and Management Systems に戻る

カリフォルニア大学サンディエゴ校 による Big Data Modeling and Management Systems の受講者のレビューおよびフィードバック

4.4
2,867件の評価
480件のレビュー

コースについて

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+....

人気のレビュー

MP
2017年10月16日

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
2017年3月27日

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)

フィルター:

Big Data Modeling and Management Systems: 451 - 470 / 470 レビュー

by JUAN A R R

2017年5月11日

poco contenido práctico

by Ra'ed A

2019年5月7日

Fix the mistakes!

by Ruowang Z

2020年4月24日

too simplistic

by Barend M

2017年7月13日

.

by Othmane B

2016年11月12日

The course a materials are interesting and with significant value, same comment on the teachers, this would be perfect if the third party(the VM) is working fine, I can't say I'm happy about the course where the frustration is probably the right word describing my feeling right now, wish me luck for this week, I might pass might not ......

by Erik P

2017年10月3日

I think some real polish needs to be applied to the final assignment in this course. Some of the questions are not formatted well for the coursera web site.. and even on my macbook pro retina I am seeing text overrunning the text box. Really want to see UCSD represented better

by Izabelle A

2019年4月10日

Cannot finish Twitter activities as commands shown in the video apparently don´t work with the most recent pyhton version. I am very disappointed about it, since I am mostly focused on Twitter-related data.

by Abdulrahman A T

2020年7月20日

The course does not add much knowledge if you came from computer science field. It touches the very basics. The exercises are simple, and the final project is very vague.

by akhil r k

2016年10月24日

I wish the courses are more project oriented. This is a very good introduction but, atleast you could provide some optional projects or some tasks.

by Ján M

2021年4月18日

I spent a lot of time setting up VM, as packages from python and libreoffice wasn't working

by Enric P C

2019年2月8日

I have found this course less attractive to follow than other Big Data courses

by Riccardo P

2018年4月20日

Barely an introduction, it could be somehow merged with the course #1

by VAIBHAV

2020年5月24日

some concepts are too concisely explained to get on clearly

by Lucas A H

2019年1月18日

Too simple for a persona that's already in the BI industry

by Joaquim P

2019年6月11日

Too simple.

by Marshall

2021年8月5日

The state of this course is unacceptable for anyone not familiar with troubleshooting LInux. The software is woefully outdated. I do not recommend this course until the instructors apply the needed updates. Coursera should probably remove this course, considering it's a paid service.

by Andrey A

2021年4月16日

Worst course I had ever. The hands-on materials are out of date. The teachers are not available for discussions. The course in unclear. Even, the final project description is ambiguous. Waste of time and money

by Felipe D

2021年2月5日

It uses technologies which has no support, and the activities where there are problems reported by the users, are days ago abandoned by the moderators.

by Somya T

2021年4月28日

Very old course and all hands on materials are outdated and you spend more time figuring it out than the actual course

by David W

2016年9月6日

Not worth your time or money.