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

4.6
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9,111 Bewertungen
2,168 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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1851 - 1875 von 2,100 Bewertungen für Introduction to Big Data

von Sujith K V

9. März 2017

Good Starter for Big Data

von Danny A A

7. Nov. 2020

Very interesting, thanks

von Rajendra O

24. Jan. 2017

Nice to get this course.

von VIVEK K S

29. Sep. 2016

excellent for beginneres

von DEEP S

19. Sep. 2020

Very interesting course

von Vishwas H

25. Juni 2020

Good start to Big Data!

von Yashwant J

24. Mai 2020

Great intro to BIg Data

von kimizhu

14. Mai 2017

it great to start with.

von Indunil D

18. Jan. 2017

very good introduction.

von Minhaz K

15. Juni 2020

slides could be better

von Daniyal S

25. Mai 2020

it was best Experience

von David G L

16. März 2020

I liked this course =)

von Jurassic

13. Okt. 2017

Interesting Background

von Khinnyeinmyint

9. Aug. 2020

I get good knowledge.

von Shraddha s

12. Okt. 2020

yes...i loved it....

von Mohith

14. Mai 2020

good & easy to learn

von Abel G

20. Mai 2017

I liked the approach

von mario p

25. Sep. 2016

A great introduction

von ILyas z

18. Mai 2020

full of information

von Srenivas.T

30. Sep. 2020

Good for beginners

von Dũng T N

8. Juli 2020

Need more examples

von kawaldeep

15. Feb. 2020

it was very basic.

von Hosna A B

16. Jan. 2020

course was lengthy

von Jackson M

29. Jan. 2018

Good introduction.

von Remco W

30. Juni 2017

Great introduction