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

10,032 Bewertungen
2,359 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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1901 - 1925 von 2,305 Bewertungen für Introduction to Big Data

von Konstantin K

8. Feb. 2018

Good foundations and delivering general idea of how MapReduce works


19. Juli 2021

Best course for beginners on Big Data. Loved studying this course!

von SG

13. Aug. 2018

Wonderful course.. Has got me off to a great start about Big Data.

von Radhika

3. Jan. 2018

Installation of hadoop on vm from scratch should be explained too.

von Lang Y

26. Okt. 2017

A little too general except for last part that talks about Hadoop.

von Jonathas S M

8. Aug. 2016

Excellent for a introduction course. More exercises would be nice.

von Mrutyunjaya S Y

13. Mai 2020

Very Informative and hands on programming is too good to practice

von Alexander A

26. Dez. 2019

More practical examples with Hadoop environment would be helpful.

von Shuai M

23. Dez. 2018

good starting course for knowing the 3 main types of data source.

von Ronald M

1. Mai 2017

Some quiz have some bad wording which make it hard to understand.

von Marwan E M

23. März 2018

Nice course especially for beginners without a prior knowledge.


24. Mai 2020

i got a good knowledge about the big data in our growing world

von Xiaotong ( C

25. Juli 2018

Pretty easy, but necessary knowledge for beginners in big data

von Yunzhe F

2. Jan. 2018

If the contain could be more brief that would be really great.

von Divya S

22. Okt. 2020

Absolutely amazing this is my first certification in coursera

von Nikhar M

28. Juni 2019

nice but need to include more technical informative lectures.

von Martin L

27. Juni 2016

A good orientation class to level set key terms and concepts.


8. Nov. 2018

interesting course and efficient pedagogic method to teach !

von Ravi C

14. Sep. 2017

Video quality could be more crisper. Content is good though

von charles m

31. Aug. 2020

for basic knowledge of big data you can choose this course.

von Rana R

6. Okt. 2018

It was somehow boring but the final practical part was fun.

von Sanket s

16. Sep. 2018

Really good start to the journey of learning about Big Data

von 学洲 刘

12. Jan. 2018

This course makes understand the foundation about Big Data.

von Lokesh K

6. Dez. 2018

A very good course for basic knowledge regarding Big Data.