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Opiniones y comentarios de aprendices correspondientes a Introduction to Big Data por parte de Universidad de California en San Diego

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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+....

Principales reseñas

HM

8 de sep. de 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.

DK

11 de ago. de 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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2276 - 2300 de 2,406 revisiones para Introduction to Big Data

por Nesrine E

23 de oct. de 2016

Good introduction to big data. I would prefer that the hadoop lesson have more practical exercices;

por André F

27 de ago. de 2017

Should spend more time explaining the commands in hadoop and also have more practical exercises

por Emily C

5 de jul. de 2017

Good course, but peer-reviewed assignments make it difficult to learn from feedback.

por Gabriel E

22 de mar. de 2017

Good course if you do not have any idea about Big Data and the technology used.

por LEONARDO D R E

30 de jul. de 2021

Quite basic, i would like it more if it provided a more background on hadoop

por akhil r k

16 de sep. de 2016

It's a good introduction, but more optional hadoop exercises can be added.

por Fernando A S G

14 de jun. de 2017

A good summary about big data basics. Well structured. Very good course!

por Nadeem

4 de ene. de 2017

It would be good if more explanation and more examples are demonstrated.

por Patil S S S

18 de oct. de 2020

mostly everything was theoretical , much practical knowledge was needed

por Deleted A

30 de jun. de 2020

only theoretical knowledge, no practical use is shown in implementation

por Prajit A

26 de jul. de 2022

there are pauses and disruptions and it doesn't cover a lot materials

por Panumate C

15 de dic. de 2020

not enough technical contents and too easy

Anyway, thank you very much

por Deleted A

5 de mar. de 2019

The audio quality is so bad in the videos - it's really distracting.

por Amir K

4 de ago. de 2016

Only skims the surface of Big Data, even for an introduction course.

por 刘佳欣

22 de nov. de 2021

very introductory, not so deep. But can work as a basic overview~

por Manik S

11 de ago. de 2019

Very easy. Videos are too slow, almost felt like a waste of time

por SUJANA C

27 de dic. de 2016

The classes could have been delivered by creating more interest.

por Swati T

20 de sep. de 2017

Was good foundational course. week 3 was most important for me

por Muhammad S V

20 de ene. de 2017

this course need some odifications because of cloudera version

por eyal

28 de feb. de 2018

To my opinion, the intro course should be shorter and faster.

por Bhuvvaan C P

16 de ago. de 2016

Introductory Level Course.Nothing much on analytical methods.

por Fazila P P

3 de oct. de 2020

unable to understand some concept and it is not very clear

por Miguel G

10 de ene. de 2018

Very good material but, in my opinion, too many seminars :)

por Rahul P

30 de jun. de 2019

The assignments and the quizes seemed pretty shallow...

por Haochuan W

23 de oct. de 2018

Watch out for trolls in the peer grading assignments..