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
10,531 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:

426 — 450 de 2,415 Avaliações para o Introdução a Big Data

por Sam P P

4 de mai de 2020

por Alonso S

21 de jan de 2019

por Ablajan S

19 de fev de 2018

por Swapnil B

21 de abr de 2017

por Sayed A A

11 de set de 2020

por Shawn J

9 de jul de 2018

por Johannes V

2 de abr de 2017

por Ronald L

16 de dez de 2021

por Parnika G

22 de set de 2021

por Nakul V

9 de out de 2020

por Dr. R R R

16 de ago de 2020

por Dr. S S

28 de mar de 2019

por HARISH A

25 de set de 2018

por Cai L

23 de set de 2018

por Steven V

1 de ago de 2017

por Francesco V

29 de abr de 2021

por Sameer M

2 de set de 2019

por Manuel H G

17 de jan de 2018

por Fernando P W

14 de out de 2020

por Gisela G

23 de ago de 2020

por NARRA J

9 de jun de 2020

por shubhangi a

2 de jun de 2020

por Aditya C

17 de abr de 2020

por Zahra H

30 de jan de 2017

por Rahul R D

10 de abr de 2022