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
2,933 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:

251 - 275 of 496 Reviews for Big Data Modeling and Management Systems

By Mars W

•

Feb 23, 2017

By радмир М

•

Oct 19, 2016

By Ke L

•

Nov 10, 2021

By José G d A L N

•

Nov 16, 2018

By YEVHEN K

•

Jan 16, 2018

By Luis M M R

•

Dec 21, 2017

By An D

•

Mar 12, 2017

By Abul B

•

Apr 14, 2022

By Kamlesh C

•

Jul 12, 2020

By Julian D O H

•

Jul 8, 2020

By VISHNU T B

•

Jul 8, 2020

By PRAVEEN S B

•

Jun 5, 2020

By Dilara B

•

Feb 24, 2019

By Jose R O

•

Jun 29, 2018

By Anup K M

•

Apr 22, 2018

By Edgar R E B

•

Jun 20, 2017

By Hamada I M

•

May 18, 2017

By EDGARD M M

•

Feb 2, 2017

By Ben W

•

Nov 11, 2016

By B S

•

Sep 26, 2016

By Enrique G R

•

Jun 30, 2016

By PALAK G

•

Jul 14, 2020

By SURAJ P

•

Jun 18, 2020

By RAJAT S

•

May 3, 2020

By Pedro D

•

Sep 24, 2016

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