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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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Acerca del Curso

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


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.


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.

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2076 - 2100 de 2,406 revisiones para Introduction to Big Data

por Wentao Z

16 de ago. de 2016

Basic and easy clarification of big data.

por Mahdia F

16 de jun. de 2020

It was an amazing experience throughout.

por petertam

4 de sep. de 2017

Too many concepts. Prefer more practice.

por Apriyanto F

1 de sep. de 2017

Love this course ..

Quiz for free ,please

por Madhumathi

14 de oct. de 2018

Virtual Machine is not working properly

por SKK

29 de oct. de 2017

Good Start with a definitive background

por Muhammad Q

19 de abr. de 2017

Excellent course. but not fully covered

por Raj M

4 de may. de 2020

Very Informative and helpful for Basic

por maiadawagdy

7 de mar. de 2017

It was very enjoyable course thank you

por Aditya J

2 de abr. de 2021

Gives me a basic idea about Big Data.

por Aarti v

17 de abr. de 2020

great course ...had fun learning this

por Edike I P

28 de feb. de 2017

Course Material Was Quite Informative

por Adam P

28 de may. de 2018

Nice start to understanding Big Data


20 de nov. de 2017

well organized , so much interesting

por Víctor C N

1 de ago. de 2018

Should have more hands-on practice.

por Shahzaib A

11 de ago. de 2016

Great course with great instructors

por Gourav

23 de abr. de 2018

It was a good introduction course.

por Manuel F

3 de abr. de 2018

Very easy concepts but very well e

por Mohammed E

20 de sep. de 2017

Amazing Introduction to Big Data .

por Stefano C

7 de nov. de 2016

Fun and passion. Expectations met.

por YASH M

11 de abr. de 2021

Excellent course!! Learned a Lot.

por Eklavya S

14 de mar. de 2018

A must for building foundations .

por vasudha m

1 de oct. de 2017

The Hands on exercises were good.

por Nandhini 2

4 de feb. de 2022

A very good course must to learn

por Dr. A C

24 de abr. de 2017

Highly Knowledgeable & learning.