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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
2,877件の評価
486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: 426 - 450 / 477 レビュー

by Ivan S

2017年2月13日

IMHO it's better to reduce the scope but provide more details of key technologies. Final assignment is not well explained.

by Shahrin S

2018年4月12日

i think the depth and how it is taught can be worked on. Theres insuffucient coverage to enable us to do the assignment.

by Himanshu s

2016年12月31日

Not Very relevant and detailed as the previous course. The content is not as clear and simple as previous course

by Ali R

2016年6月23日

3.5+ star course. I hope by studying the following courses, contents of this course prove to be more practical.

by Rahul P

2019年7月14日

The practical contents were too less. Too much of theory does tend to make the course a little bit boring...

by Yuzhen

2016年10月10日

The content of the course is very good, but the definitions and explanations are not straight forward.

by Michael J

2020年12月22日

I think that another option of Virtual Machine is necessary and another option of cloudera

by Alexander H

2018年12月27日

could be a bit more specific, especially for students with a classical DBMS background

by Radu G

2016年12月21日

The final test has little to do with the course. You must do extra study to respond.

by Jorge d l V G

2016年10月23日

The level of the exercises and quizzes don't reflect the content of the course.

by Congcong Z

2017年11月7日

it would be better if there is person to person explanation of homework

by Tinu E

2020年12月17日

This course needs to be updated, especially the twitter feed practical

by Moses B R H

2017年6月19日

Week 6 Peer graded assignment instruction should be more detailed.

by Manik S

2019年8月11日

LOW QUALITY VIDEOS, OBSOLETE RESOURCES, VIRTUALLY NO TECH SUPPORT

by Tze M H

2017年9月7日

Some concepts are too abstract, find it hard to understand.

by Waldo U

2017年12月30日

The last assignment is really vague and poorly written.

by Abu R

2017年7月31日

great course

Hands on practice needs to do a better job

by Tushar S

2016年10月4日

Just about okay. Wouldn't recommend to pay for this.

by Mohamed A

2020年10月26日

The course graphical interface makes me confused.

by Diwen

2019年8月19日

Peer-graded assignment is very badly described.

by Gustavo S

2016年8月8日

More practical exercises should be recommended.

by Amit D

2020年7月13日

Good Course. More practice sessions are needed

by Gregory S

2017年9月29日

Assignments were vague and hard to understand.

by Abhishek V

2017年7月31日

Final assignment needed to be more clear

by rkouatly

2018年8月6日

The course requires more practical part