Chevron Left
Back to Big Data Modeling and Management Systems

Learner Reviews & Feedback for Big Data Modeling and Management Systems by University of California San Diego

4.4
2,201 ratings
363 reviews

About the Course

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+....

Top reviews

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)

Filter by:

101 - 125 of 352 Reviews for Big Data Modeling and Management Systems

By Pedro E D d C

Sep 24, 2016

Muy bien

By Tamás B

Aug 14, 2016

Interesting course :)

By Jose R O

Jun 29, 2018

Very nIce

By Arindam B

Mar 14, 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.

By Ерилин Н

Jun 09, 2017

Perfect

By Ali A

Mar 01, 2018

It was an informative course, contents of the course were good

By Prachi J

Dec 07, 2017

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

By alexander r

Oct 05, 2016

Thanks for the education! :)

By 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.

By Edgar R E B

Jun 20, 2017

Excelent.

By Juan C H

Mar 28, 2017

Excellent professors! Everyday was a new learning experience!

By Carlos M P M

May 16, 2018

Simply, usefull and high valueable.

By 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

By Guven Y

Nov 11, 2017

Great course, thank you for putting it together

By 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.

By Juan H B S

May 26, 2018

Difficult topic, but interesting and the explanations were clear.

By Lisbeth R S

May 05, 2017

great

By Stefan M

Oct 30, 2017

Great course, easier to follow.

By Anup K M

Apr 22, 2018

very good

By igor s

Dec 18, 2016

Simply another great course within Coursera courses, thank you very much.

By Sita R P G

Oct 24, 2016

Modeling is the start and gives an insight how to choose the correct model for a big data project. The correct choice of the model spells success for the project. Many data models were introduced and the hands-on exercises were helpful in better understanding of the concepts.

By Raunak S

Mar 14, 2018

great course for those who wish to go beyond the basics of big data.

By JAMSHAID

Dec 28, 2017

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

By Darius T

Dec 31, 2017

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

By sarsiz

May 13, 2017

I thoroughly enjoyed this course. The content was good and it definitely needs some changes. You should explain according to me in more detail about how using a particular method of data structure you can structure the data. The exercise was easy. And please add some more exercise so that learners need to work little harder to pass the quiz.