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

2,953 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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101 - 125 von 499 Bewertungen für Big Data Modeling and Management Systems

von Sourav K C

3. Mai 2018

This has been an excellent course helping me to learn the basics of Big data and its management


8. Aug. 2017

Very useful course.

Needed only one week to finish the course even though I'm working full time.

von Sumukh N

25. Mai 2021

Both the Lecturers were good, happy to learn from them. The best course provided by San Diego.

von Savitha R

15. Sep. 2018

Bit tough concepts. The concepts get evaporated in sometime. Still trying to hold onto it :).

von Hans E

22. Okt. 2017

Good mix of theory and practice. Nice hands-on excercises with Twitter, MongoDb, Posgres etc.

von Selim S

2. Nov. 2016

LEarned a lot, wasn't easy but it was manageble for someone like me who has no IT background

von João F

18. Juni 2020

Very good course. Clearly explained. Interesting hands-on exercises in the virtual machine.

von Diogo M

22. Juli 2019

Nice Course, The possibility of use an cloudera image for hands on is so great for çearning

von kaan g

28. Feb. 2021

This course may build a good base about big data modelling and management like its name.

von S. M Y I

23. März 2020

The course laid a good theoretical base for further exploration of Big data Analytics.

von Tandy S

22. Sep. 2017

It's a great source to understand what is Big Data from concepts to its technologies

von Suresh V

20. Apr. 2017

I really enjoy learning for the first time after a long time. I will keep learning.

von Vivek T

30. Juni 2019

This course was so good which focuses on the basics and also on hands-on sessions.


19. Dez. 2018

Thanks lot to Coursera

given me new life to me

I want to go further in this course

von Mohamed F

14. März 2017

very nice and interesting course i recommend it for anyone start new in big data

von Sayed T S

13. Apr. 2017

It was a great course from the best place in the world and best instructors .

von Pablo A L Z

10. Juli 2020

Realmente es un excelente curo, no me puedo quejar lo de todo lo que aprendi

von Siddharth G

19. Juli 2020

A really great course for getting info about big data management systems.

von Igor S

18. Dez. 2016

Simply another great course within Coursera courses, thank you very much.

von Mandar T

16. Aug. 2020

Amazing course with very relevant content and great course delivery!

von Kumar A

22. Okt. 2019

Well rounded course with theoretical discussion and hand-on sessions

von Raunak S

14. März 2018

great course for those who wish to go beyond the basics of big data.

von juan

18. Jan. 2021

Excelente temario muy claro por parte de los tutores y organizado.

von Laura R

29. Juli 2020

Very interesting hand on training and useful teoretical information

von Fabio M P

7. Dez. 2017

Good course to be introduced in the big data modelling environment.