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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

2,791 个评分
468 条评论


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 16, 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 27, 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)


51 - Big Data Modeling and Management Systems 的 75 个评论(共 457 个)

创建者 Misty S

Aug 28, 2019

While the course content is very good, I feel this is not for beginners as one needs a basic knowledge of traditional relational databases for starters. The assignment helps clear the concepts and makes it understandable enough to work on it.

创建者 John C

Aug 19, 2018

A very nice introduction to the subject. Like in any other discipline one needs to practice in order to verify that you know the theory. Will continue signing up for more courses and specialitations. Very happy with the way things are going.

创建者 Glenn B

Feb 5, 2017

I thought this course was great. It gave a phenomenal overview of the tool sets out there and some good practical hands on with them. This series of course is a must for anyone wanting an overview and some hands on in the big data world

创建者 Basil C

Jan 19, 2020

This is a great crash course for beginners to get up to speed. Would be great to cover more modelling techniques and real-world case studies. Thank you - I've learned much from both Ilkay Altintas and Amarnath Gupta. Congratulations.

创建者 Vincent R

Feb 5, 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.

创建者 Ali S

Sep 21, 2019

The course was great I learned basics of different big data visualizations. Sources of big data and different tools introduced which can be very helpful. The quizes and assignments helped me to better understand the course.

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


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.

创建者 Vikas G

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)

创建者 James w

May 8, 2019

I feel as though the assessment questions could have been more specific and the assessment criteria when marking could have been more precise. But other than that it was a great course.

创建者 Mohammad M

Sep 30, 2019

Big Data modeling is important consideration while designing big data solution. Most of other online courses lacks this module. Thanks to coursera for bringing this course. Five star.

创建者 Ankit C

Mar 24, 2020

It's a good course to get an overview of different technologies that are out there. I would highly recommend this course to anyone who wants to build a foundation for big data.

创建者 Oguzhan B

Oct 6, 2020

After the first course, I both refreshed and improved my knowledge. Thank you very much for bringing this course together with many examples, tutorials and a great narration.

创建者 Routhana L

Apr 10, 2019

As a undergraduate data analytics student, this course was an enlightening experience that complemented my more theoretical, less-applicational on campus course very well.

创建者 Saju T M

Apr 13, 2020

Gives us a very good understanding on Big data modeling and various data models like Graph Data model, Vector Space model (TF-IDF), Vertica, AsterixDB, Aerospike etc.

创建者 Luis R G

Dec 4, 2019

Great course to learn and also practice how data can be visualized and how to model data, formats and how important is to choose appropriate data format and model

创建者 Arindam B

Mar 13, 2018

Very well defined course curriculum and easy to follow.

All the different aspects of big data modeling has been well discussed and presented with examples.

创建者 André G P

Nov 7, 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 Roque M G

Dec 14, 2020

Excelent course! you will get the big picture about Big Data Modeling is a perfect start point for intermediate and advanced specific courses.

创建者 Gowri A

Sep 30, 2020

The delay of completion of course was due to do no review submission otherwise the course would have got completed as per the stipulated time.

创建者 Antony C

Apr 5, 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 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 Syed M Z H

Apr 10, 2018

Great course! As described in the course info, the course didn't cover Neo4j, Impala, SparkSQL, is it covered in some other course?

创建者 Shivam T

Jun 12, 2020

Great course for introducing Big Data management systems and processing them, would suggest doing this before going to next course

创建者 Jamiil T A

Sep 25, 2018

An interesting course on BDMS and DBMS you will real learn more about the velocity and volume aspect of the big data. Good luck !