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

4.4
stars
2,865 ratings
480 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 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.

VG
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)

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251 - 275 of 469 Reviews for Big Data Modeling and Management Systems

By Anup K M

Apr 22, 2018

very good

By Edgar R E B

Jun 20, 2017

Excelent.

By Hamada I M

May 18, 2017

very good

By EDGARD M M

Feb 2, 2017

muito bom

By Ben W

Nov 11, 2016

Excellent

By B S

Sep 26, 2016

Excellent

By Enrique G R

Jun 30, 2016

Very Good

By PALAK G

Jul 14, 2020

Amazing!

By SURAJ P

Jun 18, 2020

good one

By RAJAT S

May 3, 2020

nice one

By Pedro D

Sep 24, 2016

Muy bien

By Ерилин Н

Jun 9, 2017

Perfect

By Sonali S

May 27, 2019

Great!

By Anıl K

Apr 24, 2020

Great

By Mayank c

Apr 10, 2019

G

r

e

a

t

By Lisbeth R S

May 5, 2017

great

By boulealam c

Dec 3, 2020

good

By Veerabasappa

Sep 17, 2020

Good

By RAGHUVEER S D

Jul 25, 2020

good

By Anvitha K Q

Jun 15, 2020

Nice

By VISHNU N P

Jun 1, 2020

good

By Saurabh K

May 26, 2019

good

By Fhareza A

Sep 9, 2020

wow

By Drew G

Aug 4, 2020

The information provided is solid, but this entire specialization has issues with the peer-graded assignments. The assignments themselves are good, open-ended questions designed to test your grasp of the concept being taught. The problem is the grading rubrics and the peer-review aspect. Where the questions are open-ended, the rubric often is not, demanding that only one of the possible answers be reached, or that a conclusion be reached in their specified manner. This leads to submitting the assignment, review other assignments to see what the rubric actually wants you to do, then resubmitting your assignment after you've reverse engineered the "right way" to do it to pass peer-review.

But there's only one or two of those per course, and are a relatively minor annoyance compared the good information being communicated.

By Aleksandar R

Jul 2, 2017

Not as good as the first course in the big data specialization. The big data modeling part of the course was excellent in my opinion because it contained both theory and practice. However, the management systems were not covered adequately, with only one week in the course allocated to cover those topics. I remember how a few management systems are called and what they're good for, but I wouldn't feel confident to perform any practical tasks with big data management systems after finishing this course.

Still, I'd say it's worth taking the course if you want an overview of the most common big data models and management systems.