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

10,676 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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1401 - 1425 von 2,440 Bewertungen für Introduction to Big Data

von Máxima A P

22. Aug. 2016

Good introduction.

von Chirath L V

15. Sep. 2022

Amazing Course!!!


12. Okt. 2020

Excellent Course!

von José C

19. Sep. 2020

Excellent course!

von Mohammed I A T

15. Sep. 2020

Thank You SO Much


1. Aug. 2020

Excelente COURSE!


28. Juni 2020

very satisfactory


9. Mai 2020

excellent course.

von Rupali M S

27. Apr. 2020

Excellent course.

von Hardeep S

8. Sep. 2019

Excellent content

von Marco D

31. Juli 2019

Very interesting!

von Ravichandra N

12. Feb. 2019

Very nice course!

von Guilherme S

4. Jan. 2019

Excellent course.

von Lucas R P

27. Nov. 2018

Very good course!

von Luiz H

24. Sep. 2018

Excellent course.

von Enwenezi P O

11. Dez. 2017

Very good course!

von Luis M M R

2. Dez. 2017

Excellent course!

von Fagner d M S

12. Sep. 2017

Excellent course!

von Yerlan M

9. Jan. 2017

interesting start

von Vivek S

31. Okt. 2016

Enjoyed week 3 :)

von Sirosh B

21. Juli 2016

the best lectures


10. Okt. 2022

course is useful

von Sameet A H

21. Dez. 2021

brilliant course

von Ahsan

19. Dez. 2021

brilliant course

von Jayaram G

18. Nov. 2021

awesome to learn