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Bewertung und Feedback des Lernenden für Introduction to Big Data von University of California San Diego

10,482 Bewertungen
2,452 Bewertungen

Über den Kurs

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. 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. 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. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....



8. Sep. 2019

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.


11. Aug. 2021

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

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2376 - 2400 von 2,400 Bewertungen für Introduction to Big Data

von Ray C

12. Okt. 2017

The lectures are just not very good. Terms are confused. Just not that good. The material is not difficult at all, it is just the lectures and slides are poor.

von Chris G

25. Okt. 2016

Last exercise is half the course and took many frustrating hours to install and for me never worked. No support provided by instructors. You are on your own.

von Atsuya K

30. Okt. 2017

Shallow. Perhaps useful for a student of management to skim over, but there is nothing that a student with technical background would gain from this course.

von Abhi K

4. Juli 2018

Instructors have very good knowledge but courseis very very theoretical with less examples and your subconscious mind is not even listening tovideo.

von Abhinandan N

19. Mai 2019

Everything at high level, people have to imagine things to really understand what is being said. Seriously has to work on the deliverable and plan.

von Shubham P

21. Juni 2020


von Michele P

9. Jan. 2017

I cannot complete the course due to installations problem of the software required even if I have all the requirements needed on my laptop.

von Xuening H

5. Juni 2020

Very bad course. The lecturors are not talking in a greenhand-friendly way. I cannot understand anything after I took the entire course.

von Sergiy V

27. Sep. 2020

this is the worst course I have ever seen. Is it computer science course or phylosophy course???

Waiste of time.

von Luis E G

22. Dez. 2020

This course is extremely bad on every level. User experience might be one of the worse I've had in my life.

von Sahar N

30. Dez. 2020

I couldn't boot the VM and they didn't care to help me out an after weeks of studying I had to drop off.

von Hua Z

31. Mai 2017

This course just introduce the basic definition but no practical issues. Useless somewhat

von Seth D

18. Aug. 2016

Extremely basic intro, not valuable if you have any understanding of the the space

von 佟铁

6. März 2018

Sorry, I cant learning all classes. The terrible PPT, rigid teaching methods

von Carolay C S

11. Dez. 2016

Me estan cobrando el curso y se supone que me salia todo gratis

von Laurent S

10. Feb. 2019

I have rarely seen a course that is so terrible


28. Mai 2020

i didnot find it useful and it is too boring

von Anup

7. Okt. 2016

Language is not good, and Lack of Info

von Darian H

17. Nov. 2017

The final quiz for Week 3 is broken.

von Wei G

8. Mai 2022

There is no certificate. Why?

von Paula N S

9. März 2021


von Cosmin T

4. Juni 2019

very weak presentation


13. Sep. 2021

thanks ok done

von Roshan K

31. Mai 2017

Its too slow

von Jianan D

26. Okt. 2017

too easy