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challenges-in-analytics-projects's Introduction

MBA Business Analytics & Big Data

Desafios e Requisitos dos Projetos Analíticos

Introduction to Azure & Apache Spark

Watson Studio:

https://dataplatform.cloud.ibm.com/

Trabalho Final:

https://1drv.ms/u/s!AtNYgNGIcM-PgXlMf2FBzj5_9oUb

Utilizando o Spark na sua máquina local:

Sys.setenv(SPARK_HOME="C:/Users/B31060.ACAD/Desktop/spark-2.4.2-bin-hadoop2.7")
## Set the library path
.libPaths(c(file.path(Sys.getenv("SPARK_HOME"),"R","lib"), .libPaths()))
## load the sparkR library
library(SparkR, lib.loc="C:/Users/B31060.ACAD/Desktop/spark-2.4.2-bin-hadoop2.7/R/lib")
## Se necessário set o caminho do java.exe
## Sys.setenv(JAVA_HOME="C:\\Program Files\\Java\\jdk1.8.0_201\\jre")
## Create a spark context and a sql context
sc<-sparkR.init(master = "local")
sqlContext<-sparkRSQL.init(sc)

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