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

4.6
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10,482 Bewertungen
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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+....

Top-Bewertungen

DK

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.

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.

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1501 - 1525 von 2,400 Bewertungen für Introduction to Big Data

von Le H A

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27. Okt. 2021

great course

von DAVE G

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1. Aug. 2021

Great course

von imad E A

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26. Juli 2021

Great course

von Исламбек О Е

•

3. Jan. 2021

клссно супер

von Walter M L A

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31. Aug. 2020

very good...

von Hemant M

•

21. Aug. 2020

Good Course!

von MUJTABA E A H

•

17. Aug. 2020

That is good

von WIRANIA S

•

5. Aug. 2020

thank youu..

von Md. R Q S

•

2. Aug. 2020

great course

von rashed

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7. Juli 2020

great course

von Manikant R

•

20. Juni 2020

Great course

von Abhinav G

•

15. Juni 2020

its was nice

von Doss D

•

7. Juni 2020

Very helpful

von Dr.Keshav M

•

15. Mai 2020

I am Excited

von PHONGYUTTAKARN T

•

2. Mai 2020

Great Course

von paritosh g

•

28. Dez. 2019

good content

von Muhammad Z H

•

24. Sep. 2019

Learned alot

von Ahmed A

•

30. Mai 2018

Thanks a lot

von Rishikesh M

•

11. Feb. 2018

Good course!

von brian b

•

14. Okt. 2017

Great class!

von Rodrigo A C C

•

7. Aug. 2017

It was great

von Carlos E d S

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28. Juli 2017

Great intro!

von YashVardhan S

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17. Juli 2017

good for all

von Matthew S

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5. März 2017

Great stuff!

von Kelvin P

•

10. Aug. 2016

Very good :)

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