Welcome to our Hadoop training tutorial! This guide will help you understand the basics of Hadoop and how to get started with this powerful distributed computing platform.
What is Hadoop?
Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.
Key Features of Hadoop
- Scalability: Hadoop can scale up from single servers to thousands of machines, each offering local computation and storage.
- Fault Tolerance: Hadoop automatically replicates data across multiple nodes to ensure data durability and availability.
- High Throughput: Hadoop can handle large volumes of data with high throughput, making it suitable for big data applications.
Getting Started
Prerequisites
Before diving into Hadoop, make sure you have the following prerequisites:
- Basic knowledge of Linux operating system.
- Familiarity with Java programming language.
- Understanding of basic concepts of distributed computing.
Install Hadoop
You can download and install Hadoop from the official Apache website. Follow the installation guide provided to set up Hadoop on your system.
Configure Hadoop
After installation, you need to configure Hadoop for your environment. This includes setting up the Hadoop environment variables, creating the Hadoop user, and configuring the core-site.xml and hdfs-site.xml files.
Run Hadoop
Once everything is set up, you can start running Hadoop commands. For example, you can use the hdfs dfs -ls command to list the files in the Hadoop file system.
Further Reading
For more in-depth information on Hadoop, check out the following resources: