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

9,838 Bewertungen
2,320 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.

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 2,257 Bewertungen für Introduction to Big Data

von Martin A

28. Sep. 2017

Great course, although hands-on excercises should be more challenging.

von Nitin G

18. Aug. 2017

The content was very good but the explanation good be improved a bit.


24. Juni 2021

informative course for students who want to learn from the scratch .

von ahmed e

13. Jan. 2019

It's good start and explanation for big data concepts and ecosystem.

von Christopher C

6. Apr. 2018

I liked the course. I wish there were more lessons involving Hadoop.

von Jauhari K

20. Juni 2021

Please update content and tool. A lot of issue with the cloudera vm

von Jhon F B L

19. Apr. 2021

Very interesting course. Great to get started with hadoop ecosystem

von Daniel L

2. Sep. 2020

great course, although audio tends to be soft in the starting week.

von Santiago L E

4. Nov. 2019

Sirve para entender el Big Data de manera teorica y muy muy básico.

von Gabriel S

21. Okt. 2019

Couls have a little more hands on training material with Hadoop VM.

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.