I. Introduction
In our daily life, big data is everywhere. From recommendation systems to precision medicine, big data is constantly affecting our lives. So, how to use big data for analysis? Today, I will lead you through a big data analysis project step by step, from data preprocessing to model building, and I will show you the complete development process.
2. Environment configuration
Before we start, we need to make sure our development environment is configured. This project will use Hadoop and Spark as the main big data processing tools.
# 安装Hadoop
wget http://apache.claz.org/hadoop/common/hadoop-3.2.2/hadoop-3.2.2.tar.gz
tar -xvf hadoop-3.2.2.tar.gz
# 安装Spark
wget http://apache.claz.org/spark/spark-3.1.2/spark-3.1.2-bin-hadoop3.2.tgz
tar -xvf spark-3.1.2-bin-hadoop3.2.tgz
3. Data preprocessing
Before starting data analysis, we need to preprocess the data. This step is very important because it helps us