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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
3,007 ratings

About the Course

Once you鈥檝e 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 鈥淎bout This Mac.鈥� 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

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)

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.

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251 - 275 of 513 Reviews for Big Data Modeling and Management Systems

By Enrique A

鈥�

Aug 16, 2017

Great Course

By Damien G P

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Dec 8, 2016

Good Course!

By Samir G

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Nov 21, 2016

Very helpful

By Thuong D H

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Sep 23, 2016

Good course!

By menadel m

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Jul 30, 2023

very good !

By Mohamed R A

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Mar 10, 2021

Excellent -

By Bud P

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Sep 22, 2020

very useful

By Khue N N

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Jun 30, 2020

Good course

By Abdo S

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Jun 19, 2020

really good

By N. B R r

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May 31, 2020

Best course

By Pasawat S

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Jun 19, 2019

very useful

By kundan k

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Apr 15, 2018

nice course

By mudit

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Nov 18, 2017

good course

By Maria O

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May 31, 2017

Excellent!!

By Mars W

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Feb 24, 2017

good course

By 褉邪写屑懈褉 袦

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Oct 20, 2016

interesting

By Ke L

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Nov 10, 2021

Thank you!

By Jos茅 G d A L N

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Nov 16, 2018

Incredible

By YEVHEN K

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Jan 17, 2018

I like it!

By Luis M M R

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Dec 22, 2017

very good!

By An D

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Mar 13, 2017

Thank you!

By Abul B

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Apr 14, 2022

excellent

By Kamlesh C

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Jul 12, 2020

Thank you

By Julian D O H

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Jul 9, 2020

Excelent!

By VISHNU T B

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Jul 8, 2020

Excellent