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
stars
2,934 ratings

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)

Filter by:

51 - 75 of 496 Reviews for Big Data Modeling and Management Systems

By Nick G

•

Mar 10, 2020

By Qian H

•

Jul 10, 2017

By andreh m

•

Nov 6, 2016

By Joydeep S

•

Jul 18, 2017

By José A R N

•

Sep 13, 2017

By Sarsiz C

•

May 13, 2017

By Sukanta M

•

Nov 15, 2017

By Sita R P G

•

Oct 23, 2016

By Mohamad K

•

Aug 20, 2019

By Misty S

•

Aug 28, 2019

By John C

•

Aug 19, 2018

By Glenn B

•

Feb 5, 2017

By Basil C

•

Jan 19, 2020

By Vincent R

•

Feb 5, 2018

By Ali S

•

Sep 21, 2019

By loveneet k

•

Aug 21, 2017

By Nikola M

•

Nov 1, 2021

By MOTHUKURI S K P

•

Oct 17, 2017

By Vikas G

•

Mar 28, 2017

By Mohammad M

•

Sep 30, 2019

By Ankit C

•

Mar 24, 2020

By Oguzhan B

•

Oct 6, 2020

By Routhana L

•

Apr 10, 2019

By Saju T M

•

Apr 13, 2020

By Luis R

•

Dec 4, 2019

Coursera Footer

Start or advance your career

Browse popular topics

Popular courses and articles

Earn a degree or certificate online

Coursera

Community

More

Learn Anywhere
Placeholder
Placeholder
Placeholder