This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process.
oferecido por
Plataforma Hadoop e framework de aplicação
Universidade da Califórnia, San DiegoInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Aprox. 26 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
Habilidades que você terá
Python ProgrammingApache HadoopMapreduceApache Spark
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Aprox. 26 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
oferecido por
Universidade da Califórnia, San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Programa - O que você aprenderá com este curso
2 horas para concluir
Hadoop Basics
Welcome to the first module of the Big Data Platform course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Hadoop stack and tool and technologies associated with Big Data solutions.
2 horas para concluir
7 vídeos (Total 53 mín.), 4 leituras, 1 teste
4 horas para concluir
Introduction to the Hadoop Stack
In this module we will take a detailed look at the Hadoop stack ranging from the basic HDFS components, to application execution frameworks, and languages, services.
4 horas para concluir
10 vídeos (Total 70 mín.), 6 leituras, 3 testes
3 horas para concluir
Introduction to Hadoop Distributed File System (HDFS)
In this module we will take a detailed look at the Hadoop Distributed File System (HDFS). We will cover the main design goals of HDFS, understand the read/write process to HDFS, the main configuration parameters that can be tuned to control HDFS performance and robustness, and get an overview of the different ways you can access data on HDFS.
3 horas para concluir
9 vídeos (Total 58 mín.), 5 leituras, 3 testes
7 horas para concluir
Introduction to Map/Reduce
This module will introduce Map/Reduce concepts and practice. You will learn about the big idea of Map/Reduce and you will learn how to design, implement, and execute tasks in the map/reduce framework. You will also learn the trade-offs in map/reduce and how that motivates other tools.
7 horas para concluir
9 vídeos (Total 27 mín.), 3 leituras, 3 testes
Avaliações
Principais avaliações do PLATAFORMA HADOOP E FRAMEWORK DE APLICAÇÃO
por CA9 de Dez de 2015
Very detailed , thorough introduction to a lot of the Hadoop ecosystem. Nice explanation and assignment to get a feel for Spark. At times a bit dry but altogether a well structured and taught course.
por OR24 de Set de 2019
This course gives a nice introduction to Hadoop basics. Unfortunatly, i faced many issues to work with cloudera VM and some commands in tutorials are obsolete. Thank you very much for your efforts.
por FW15 de Jun de 2016
Good introductionary course to get familiar with Hadoop and Spark. Could dig a bit deeper. It's only 5 weeks long, which accounts for half a trimester. Two of those makes one full size class.
por AB14 de Mai de 2017
Great course with great explanations. I just want to suggest to use more visual examples during your explanations, I mean, it would be nice to see live examples of code and executions running.
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