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Kursteilnehmer-Bewertung und -Feedback für Introduction to Big Data von University of California San Diego

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9,838 Bewertungen
2,320 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+....

Top-Bewertungen

HM
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.

PB
24. Mai 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

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2051 - 2075 von 2,257 Bewertungen für Introduction to Big Data

von Deepak P

4. Aug. 2020

gr8 course

von nikhil n

13. Aug. 2016

Too Good..

von Kris H

22. Juni 2016

Good intro

von Aniket D

13. Sep. 2020

thank you

von Kumara S

14. Juli 2020

Excellent

von Srimathi. S

20. Juni 2020

Excellent

von surbhi p

4. Juni 2019

liked it.

von Tarun T

29. Juli 2017

Very Good

von Monisha M

6. Juli 2017

Excellent

von Yugesh K

10. Juli 2020

its good

von NEELJI P

22. Aug. 2018

nothing

von Sheraz I

4. Juli 2020

v.good

von Rishabh T

3. Juli 2020

great

von PARVADHARSHINI K

18. Mai 2020

Great

von VEDIKOLA R R

12. Okt. 2020

Good

von SATHYASRI V

5. Aug. 2020

Good

von Arihant S J

18. Juni 2020

Good

von Sumit K

18. Juni 2020

good

von Tejal C

9. Juni 2020

Good

von Chirag P

15. Mai 2020

Good

von SUTHAHAR P

13. Mai 2020

Good

von Hyungje W

31. Okt. 2018

Good

von Mahmoud T

6. Juli 2017

good

von Sweta c

27. Aug. 2020

ok

von Kirk S

5. Mai 2018

Quizzes appear to have been written by someone who simply went through the videos and slides and looked for things for the student could parrot back rather than by someone who was asking questions based on understanding of the material.

Videos is not a great medium for this kind of thing. It is slow and hard to review. I understand the desire to replicate a classroom experience, but without the ability to interrupt and ask a question, that isn't what you are creating. The transcript system is quite helpful in this regard, but really, if you just gave me a short text to read that clearly stated the things discussed in the video it would be more efficient.