How to Install Hadoop on Windows 10 & 11 – Step-by-Step Guide for SPPU DSBDA Lab | High Tech 7

How to Install Hadoop on Windows 10 & 11 – Step-by-Step Guide for SPPU DSBDA Lab

Installing Apache Hadoop on Windows 10 or Windows 11 can be challenging for beginners, especially for SPPU Computer Engineering students working on the DS&BDA (Data Science & Big Data Analytics) Lab. To solve this problem, this guide provides a complete step-by-step Hadoop installation tutorial that is easy to follow and fully practical.

In this blog, you will learn how to install, configure, and run Hadoop on Windows, including Java setup, environment variables, error fixing, and service execution.


📌 Why Hadoop is Important for SPPU Students?

Apache Hadoop is a Big Data framework widely used for:

  • Distributed data storage (HDFS)

  • Parallel data processing (MapReduce)

  • Handling large datasets efficiently

For SPPU DS&BDA Lab, Hadoop is mandatory to:

  • Perform MapReduce programs

  • Work with HDFS

  • Understand Big Data concepts practically


🛠️ System Requirements

Before starting, make sure your system meets the following requirements:

  • Windows 10 or Windows 11 (64-bit recommended)

  • Minimum 8 GB RAM (4 GB can work for basic use)

  • Java JDK (8 or above)

  • WinRAR / ZIP extractor

  • Internet connection


📂 Setup Files Information

All required Hadoop setup files are provided via Google Drive strictly for educational purposes.

✔️ Files are virus-scanned
✔️ Safe for student usage
✔️ Used for SPPU practicals

🔗 Download Hadoop Setup Files:

Download Hadoop

⚠️ Important Note About msvcr120.dll

The file msvcr120.dll is part of Microsoft Visual C++ 2013 Redistributable.

Recommended Solution:

  • Download and install the official Microsoft Visual C++ Redistributable

  • Avoid manually copying DLL files into System32 to prevent system instability

This step helps resolve common winutils.exe and runtime errors in Hadoop.


🧑‍💻 Step-by-Step Hadoop Installation on Windows

Step 1: Install Java JDK

  • Download Java JDK

  • Install it normally

  • Set JAVA_HOME environment variable

  • Verify installation using:

java -version

Step 2: Download and Extract Hadoop

  • Download Hadoop files

  • Extract using WinRAR

  • Place the Hadoop folder in a suitable directory (example: C:\hadoop)


Step 3: Configure Hadoop Files

Edit the following configuration files:

  • core-site.xml

  • hdfs-site.xml

  • mapred-site.xml

  • yarn-site.xml

This configuration allows Hadoop services to run properly on Windows.


Step 4: Set Environment Variables

Add the following paths:

  • JAVA_HOME

  • HADOOP_HOME

  • Hadoop bin and sbin paths in System Variables


Step 5: Fix winutils.exe Error

  • Place winutils.exe inside the Hadoop bin folder

  • Verify permission and compatibility

  • This step fixes most Windows-specific Hadoop errors


Step 6: Start Hadoop Services

Run the following commands:

start-dfs.cmd
start-yarn.cmd

Check Hadoop services in browser:

  • NameNode: http://localhost:9870

  • ResourceManager: http://localhost:8088


Step 7: Install Eclipse IDE (Optional)

For running MapReduce programs:

  • Download Eclipse IDE

  • Configure Java and Hadoop libraries

  • Run Hadoop programs smoothly

🔗 Download Eclipse:
https://www.eclipse.org/downloads/


Step 8: Stop Hadoop Services

After completing work:

stop-dfs.cmd
stop-yarn.cmd

❓ Common Student Queries Covered

  • How to install Hadoop on Windows 10 or 11

  • Hadoop installation for SPPU DS&BDA Lab

  • How to run MapReduce programs

  • HDFS setup on Windows

  • Hadoop errors and solutions

This tutorial is perfect for Computer Engineering, IT, and MCA students.


📚 Useful Resources

🔗 Official Hadoop Documentation:
https://hadoop.apache.org/docs/current/

🔗 Hadoop Setup Files:
Download Link 

🔗 Eclipse IDE:
https://www.eclipse.org/downloads/


⚠️ Disclaimer

  • This tutorial is for educational purposes only

  • Always back up your system before making changes

  • Download software only from trusted sources

  • Follow steps at your own risk

This content fully complies with YouTube Community Guidelines and promotes safe learning practices.


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🙏 Thanks for reading!
If this guide helped you, share it with your classmates, comment your doubts, and stay connected for more Big Data & Hadoop tutorials 🚀✨



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