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Voltar para Introdução a Big Data

Introdução a Big Data, Universidade da Califórnia, San Diego

4.6
4,928 classificações
1,218 avaliações

Informações 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

por RG

Jul 14, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

por PB

May 25, 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

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1,159 avaliações

por José Armando Bajos Silva

Apr 19, 2019

Bune curso de los elementos basícos de bigdata así como el uso de las principales variables.

por Vivek Tiwari

Apr 08, 2019

this is really a fantastic course in Big data and data science. the instructor is so nice and the content is quite good.

por marella sahas reddy

Apr 08, 2019

nice

por sudhanshu patel

Apr 08, 2019

It went slow but worth taking

por ashishverma

Apr 07, 2019

nice course

por Pedgilba

Apr 05, 2019

Simplemente muy bueno

por AMEEN HUSSAIN ALBARRAK

Apr 04, 2019

Great

por Mohamed Shokry

Apr 04, 2019

I have benefited greatly from this course, which is a powerful start to the big data field

por Satwinder Singh

Mar 28, 2019

A very good informative course.

All the Basics concepts are represented very well. Like this course too much.

por Eder Mauricio Abello Rodríguez

Mar 25, 2019

Good course to learn introduction terms.