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

4.4
stars
2,877 ratings
•
486 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)

Filter by:

151 - 175 of 476 Reviews for Big Data Modeling and Management Systems

By Mohamed H A

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Aug 25, 2019

Great thanks to the team worked the course.

By Julien C

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Dec 3, 2017

Good course! The last exam could be better.

By Assaduzzaman N

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Sep 26, 2017

This is a very good course in most aspects.

By Jose L R

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Oct 13, 2018

Great course! Please update the hands on!

By Suraj S

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May 17, 2019

one of the best courses to be mentioned.

By Chetan A

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Sep 6, 2018

Gave great undestanding on the big data.

By Tejprakash U

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Dec 10, 2018

course is well designed and structured.

By Mostafa R

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Jan 23, 2020

very good content and good instructor

By Marcos

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Apr 1, 2018

Useful to know fundamentals of BDMS.

By Emilio M

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May 27, 2019

very good performace of instructors

By Alan P N

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May 23, 2018

Simples e direto ao ponto!

Muito bom

By Carlos M P M

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May 16, 2018

Simply, usefull and high valueable.

By Budi S

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Nov 20, 2020

Thoroughly explained. recommended

By Fahim T W I

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Jul 9, 2020

I am glad to finished this course.

By Francisco A

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Jun 23, 2017

Excellent material, well explained

By Prof. B R J

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Sep 3, 2020

GREAT JOB DONE BY THE INSTRUCTOR

By Amit K M

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Oct 6, 2020

EXCELLENT COURSE CONTENTS......

By VIJAY M

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Jan 18, 2019

Great course, great Faculty....

By Jude O

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Oct 24, 2018

Excellent introductory material

By Stefan M

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Oct 30, 2017

Great course, easier to follow.

By Shivam s

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Sep 20, 2020

Amazing course in the coursera

By Fabio L

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Aug 15, 2020

Very good and relevant course!

By Ferry W

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Jul 1, 2018

easy to understand and helpful

By Pankaj G

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Dec 19, 2017

Good course, fairly detailed.

By Jauhari K

•
Jun 20, 2021

Good delivery on the concept

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