Chevron Left
Voltar para Introdução a Big Data

Comentários e feedback de alunos de Introdução a Big Data da instituição Universidade da Califórnia, San Diego

4.6
estrelas
10,534 classificações

Sobre o 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+....

Melhores avaliações

HM

8 de set 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.

Filtrar por:

476 — 500 de 2,418 Avaliações para o Introdução a Big Data

por Keith B

28 de jan de 2017

por Ranga D

8 de set de 2016

por Mejzo

23 de ago de 2016

por Amol G

8 de out de 2017

por Balaji S

1 de ago de 2017

por NAGARAJ S

22 de jul de 2020

por Shivam T

7 de jun de 2020

por Durgesh J

11 de fev de 2019

por Arindam S

23 de fev de 2017

por Ульянов Г И

3 de ago de 2020

por Julia R G

31 de jul de 2020

por Aarthi B

15 de jun de 2020

por Dr P V

29 de mai de 2020

por Khamis A M A

21 de jan de 2020

por Kevin C

11 de ago de 2018

por Vijay B P

17 de jan de 2018

por Francisco M F F

19 de nov de 2017

por vijay k A

6 de jun de 2020

por Durovich A

5 de mai de 2019

por Deleted A

20 de abr de 2018

por Brooke W L

23 de mar de 2018

por Raunak S

27 de fev de 2018

por A A

27 de ago de 2017

por chaitanya

3 de jul de 2017

por Luis A R G

2 de mar de 2017