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Kursteilnehmer-Bewertung und -Feedback für Big Data Modeling and Management Systems von University of California San Diego

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2,819 Bewertungen
471 Bewertungen

Über den Kurs

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-Bewertungen

MP
16. Okt. 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
27. März 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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351 - 375 von 460 Bewertungen für Big Data Modeling and Management Systems

von leila M

27. Aug. 2016

it was nice but a bit complicated for beginner though i like it

von Fernando A S G

14. Juni 2017

A clear introduction to some Big Data topics. Easy activities.

von Muhammad N K

14. Feb. 2017

Best course on Various Big Data models and management systems.

von Brian S

14. Apr. 2019

Expected more hands-on activities and more advanced tasks

von Jimmy F

11. Dez. 2018

I wanted to see more big data issues in the final test.

von Marco A G O

10. Sep. 2019

More focus on theory than practice, but a nice course.

von Parinya H

28. Feb. 2019

Good content and recommend for modeling Big Data.

von Lukáš B

1. Dez. 2017

Too much abstract topic to perceive all things.

von Álvaro G C

31. Okt. 2016

So useful and focus on main basic aspects.

von Pradhyumn A

23. Mai 2020

word-choice should have been better...

von Yogesh P

17. März 2018

Good Course covering Modelling systems

von Piero T

23. Nov. 2016

Peer Assignment is not too clear

von Aman S

4. Aug. 2018

No practical approach for BDMS

von Jorge d l C

11. Feb. 2019

Basic for database developers

von Mehul P

30. Dez. 2017

Nice overview to get into it.

von Marcelo G D L

23. Mai 2020

Un poco desactuaizado

von Ismail A I

20. Feb. 2017

Very well explained

von Iskan S

28. Nov. 2019

it is very helpful

von Ganesan R

26. Mai 2020

Enjoyed reading

von Antonia I

24. Juli 2018

It was fine.

von Keith B

5. Juli 2017

Good module.

von Jyothikumar

19. März 2017

good cource

von ahmedossama.201461

23. Apr. 2017

Tool !

von SUTHAHAR P

16. Mai 2020

Good

von Marwan E M

28. März 2018

Interesting course and valuable theoretical notions. However, i would have preferred that it contains more practical (challenging) tasks especially that most if not all classmates have sufficient IT background and the hands-on were too simple. Moreover, it is easier to understand theoretical knowledge when we apply them in practice. The course creators might have thought to leave all challenging practical work for the final project but i would suggest to include mini-projet at the end of each course. Another point regarding the final assignment of the 6th week, it would have been better to do something similar before it, many classmates and I were confused and unsure about how to answer some questions and we had to evaluate each other's work while being unsure if our own submissions were correct or not.