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

10,675 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+....



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.


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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2176 - 2200 von 2,439 Bewertungen für Introduction to Big Data

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

von Nannaphat S

8. Juni 2021

Good for beginner

von Jorge A V C

17. Okt. 2020

Was a good course

von Dong D P

15. März 2017

Good for beginner

von Hector J D

5. Feb. 2017

Good Introduction

von Jean-Francois B

24. Sep. 2020

Very interesting

von Harpreet K G

13. Sep. 2020

very informative


20. Mai 2020

more informative

von ahmed s

6. Apr. 2020

good inforamtion

von Navneet K D

25. März 2019

Very Theoretical

von Gitesh W

13. Feb. 2019

very nice course

von Rafael U

3. Sep. 2017

Excelent course!

von Stark

13. Okt. 2016

Very basic info.

von vaishnavi S M

17. Sep. 2020

it is excellent

von Sorgo W C

30. Mai 2020


von touzani y

24. Juni 2019

Excelent course

von Piyush T

6. Dez. 2018

too much theory

von Ivan A

19. Juni 2018

Too much theory

von Jerome T B

22. Feb. 2021

c'etais wahouu

von rajavardhan s

25. Jan. 2018

course is good


19. Nov. 2017

Very educative

von goutham

16. März 2017

good lectures.