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

9,932 Bewertungen
2,345 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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1976 - 2000 von 2,289 Bewertungen für Introduction to Big Data

von Aditya J

2. Apr. 2021

Gives me a basic idea about Big Data.

von Aarti v

17. Apr. 2020

great course ...had fun learning this

von Edike I P

28. Feb. 2017

Course Material Was Quite Informative

von Adam P

28. Mai 2018

Nice start to understanding Big Data


20. Nov. 2017

well organized , so much interesting

von Víctor C N

1. Aug. 2018

Should have more hands-on practice.

von Shahzaib A

11. Aug. 2016

Great course with great instructors

von Gourav

23. Apr. 2018

It was a good introduction course.

von Manuel F

3. Apr. 2018

Very easy concepts but very well e

von Mohammed E

20. Sep. 2017

Amazing Introduction to Big Data .

von Stefano C

7. Nov. 2016

Fun and passion. Expectations met.

von YASH M

11. Apr. 2021

Excellent course!! Learned a Lot.

von Eklavya S

14. März 2018

A must for building foundations .

von vasudha m

1. Okt. 2017

The Hands on exercises were good.

von Dr. A C

24. Apr. 2017

Highly Knowledgeable & learning.

von saurav k

21. Jan. 2020

content could have been better.

von Reyad N E

16. März 2019

it's awesome course you'll take

von sujay b s

16. Aug. 2016

Good work! Thanks for educating

von Krutika B

10. Okt. 2020

nice , cob=vered all the basic

von Harsh O

28. Juli 2018

The course was up to the mark.

von Andrés F

10. Okt. 2016

Very very introductory course.

von Sowjanya N

9. Juli 2020

Had great learning experience

von sudhanshu p

8. Apr. 2019

It went slow but worth taking

von Mehul P

30. Dez. 2017

Nice overview to get into it.

von Pavan S K G

21. Aug. 2020

Good for absolute beginners.