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

2,877 Bewertungen
486 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+....


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.

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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151 - 175 von 478 Bewertungen für Big Data Modeling and Management Systems

von Mohamed H A

25. Aug. 2019

Great thanks to the team worked the course.

von Julien C

3. Dez. 2017

Good course! The last exam could be better.

von Assaduzzaman N

26. Sep. 2017

This is a very good course in most aspects.

von Jose L R

13. Okt. 2018

Great course! Please update the hands on!

von Suraj S

17. Mai 2019

one of the best courses to be mentioned.

von Chetan A

6. Sep. 2018

Gave great undestanding on the big data.

von Tejprakash U

10. Dez. 2018

course is well designed and structured.

von Mostafa R

23. Jan. 2020

very good content and good instructor

von Marcos

1. Apr. 2018

Useful to know fundamentals of BDMS.

von Emilio M

27. Mai 2019

very good performace of instructors

von Alan P N

23. Mai 2018

Simples e direto ao ponto!

Muito bom

von Carlos M P M

16. Mai 2018

Simply, usefull and high valueable.

von Budi S

20. Nov. 2020

Thoroughly explained. recommended

von Fahim T W I

9. Juli 2020

I am glad to finished this course.

von Francisco A

23. Juni 2017

Excellent material, well explained

von Prof. B R J

3. Sep. 2020


von Amit K M

6. Okt. 2020



18. Jan. 2019

Great course, great Faculty....

von Jude O

24. Okt. 2018

Excellent introductory material

von Stefan M

30. Okt. 2017

Great course, easier to follow.


20. Sep. 2020

Amazing course in the coursera

von Fabio L

15. Aug. 2020

Very good and relevant course!

von Ferry W

1. Juli 2018

easy to understand and helpful

von Pankaj G

19. Dez. 2017

Good course, fairly detailed.

von Jauhari K

20. Juni 2021

Good delivery on the concept