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

10,481 Bewertungen
2,452 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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1951 - 1975 von 2,400 Bewertungen für Introduction to Big Data

von Pablo M G

20. Dez. 2016

Very good introduction to the field. Not too complex, so a good starting point.

von Muhammad A

29. Aug. 2016

Course was good. I had issue to configure virtual machine . but it worked now .

von Jialin Z

7. Apr. 2020

Easy to follow even for beginners. Hands on practicing with Hadoop in the end.

von Akshay P

26. März 2020

The installation of VM part was pain. Otherwise, good introduction to big data

von Curt W

6. Mai 2018

I loved the hands on experience with running the hadoop on my laptop using VM.

von Prakul A

18. Sep. 2019

An excellent introductory course in Big data and its real world applications.

von Isaac L L T

14. Aug. 2020

The introduction was way longer than I expected but the week 3 was the best.

von Suchitha K

2. Juni 2018

Nice course to kick start ! More assignments can be added programming side !

von Maryam B

19. Dez. 2017

the answers of questions are not clear.

i confuse between 2 or more selection

von Taresh T

1. Apr. 2017

It is an introductory course. So it does not include much about the subject.

von Swaraj S

15. Mai 2021

Really Course i have learn the basics of the big data analysis through this

von Pavlo H

20. Okt. 2020

As for me, a useful course for an initial notion of the BigData processing

von David W

27. Juni 2017

Great introduction course to get some fundamental knowledge about Big data

von Kalyani S

24. Juli 2017

It was very detailed and easy to follow. Liked the pace as well very much

von Manthan R

2. Juni 2020

Great introductory course. Along with a little hands-on zest at the end.

von Iskan S

6. Okt. 2019

This course was great. simple and easy understanding with familiar case.

von Varad D

22. Dez. 2018

It could have involved more hands on session. Otherwise fabulous course.

von Vasuki R

22. Sep. 2017

It was a good intro to big data, its fundamentals and hadoop frameworks.

von Dhruv R

2. Juli 2021

This course is more focous towards theory rather then prectical skills

von Tebogo L L M

6. Aug. 2020

This is an informative course and requires serious attention to detail.


3. Mai 2020

Course is beneficial to every one who are showing interest in Big Data.

von Simon B C

5. März 2020

The sound of the video's is not great. However, they explain it nicely.

von Chen H

11. Juli 2017

Good course for beginner. It will be better if there are more examples.

von Jose M S F

5. Feb. 2017

Good introduction to general concepts. Does not require specific skills

von Shivananth K

28. Okt. 2016

More practical use cases and applied knowledge base need to be included