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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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2,877 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+....

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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326 - 350 von 478 Bewertungen für Big Data Modeling and Management Systems

von Viraj D

13. Aug. 2019

The explanation is very clear. More hands-on coding and practicing should have helped in learning the concept more profoundly.

von Remco W

30. Juli 2017

Thx for this course. It helped me in preliminary understanding of the big data modelling world. Fascinating, and intriguing.

von Mujtaba A

20. Okt. 2019

It was a good course for beginners of big data modeling. I benefited much from it from the theoretical perspectives.

von Olga T

5. Juli 2017

There is a lot of useful information in the course but not enough practice to understand it better. And final peer-g

von Kshitij V

19. Nov. 2016

Great course which gives you insights into Big Data Management and various product differentiation used for Big Data

von SONJA A

20. Aug. 2017

I felt the assignment was a bit confusing, however, it was good to see how others responded to the same questions.

von Anis R

7. Dez. 2017

Informative course where are you are introduced to

Data Models

Semi Structured Data

Data Lake

Data Streaming

etc.

von amr a s

10. Mai 2017

My only comment is that sometimes I feel that the speaker is talking quickly and the information is not clear

von Lei M

18. Aug. 2016

it's pretty good. I learn a lot, but some information is not enough, for example TF-IDF, and vector model

von Rita P

13. Aug. 2017

Informative course and video lectures, but final peer graded assignment was lacking clear instructions.

von Marc-André S

29. Nov. 2017

Very Good course with rich content - I feel the final assignment could have been better structured.

von Sabarish S

28. Nov. 2016

Some concepts can be simplified by using comprehensive examples.

The course is overall great!

von Vladimir A

2. Feb. 2017

Course is very good, and highly recommended.

More practice on this course will be appreciated

von Swadish V

5. Dez. 2019

I am totally new to big data. This course give me an immense knowledge about modelling.

von Calvin D

13. Sep. 2020

Graphs were a bit off and could be better but the overall overview of modeling was good

von Hua W

2. Jan. 2018

Great material in this course. But the peer review assignment is a little bit weird...

von Oscar J M T

23. Sep. 2018

I enjoyed this course, the topics was more clear and deep in contrast with level 1.

von guarav y

26. Aug. 2018

Should have more and better explanations of various topic like vertica, astersikDB

von sachin d

28. Juni 2017

Very nice explanation of different data models and Big Data software applications.

von Jeffrey K

16. Sep. 2020

Information and explanations for some of the assignments could be much improved.

von Alireza A B

7. Aug. 2017

Lectures where good but some effort is needed to have more practical assignments

von Sreedhar K

22. Sep. 2017

The spread of the info is good but I think it could need a little more depth.

von HEMANT K D

12. Juli 2019

peer review is not good for any assignment.unnecessary delay and of no use.

von Chandrakanth B

11. Dez. 2019

I could able to learn how big data is helping in modeling and nanagement

von RAHUL V

6. Juli 2020

The course is fine but the accent of tutor is difficult to understand