Apache CarbonData on Ubuntu 26.04 is a high-performance open-source columnar storage format designed for big data analytics and large-scale data processing. Built to integrate seamlessly with Apache Spark, CarbonData enhances query performance through advanced indexing, data compression, and efficient storage management. Running on Ubuntu 26.04 LTS, this virtual machine provides a stable and production-ready environment for deploying, testing, and evaluating Apache CarbonData.

Apache CarbonData enables organizations to store massive volumes of structured and semi-structured data while significantly reducing storage requirements through optimized compression techniques. Its intelligent indexing mechanisms, including blocklet indexes and data maps, help accelerate analytical queries and improve overall processing efficiency compared to traditional storage formats.

Designed for modern data lake and data warehouse architectures, CarbonData works natively with Apache Spark to provide high-speed data ingestion, faster query execution, and scalable analytics capabilities. Organizations can leverage CarbonData to process large datasets efficiently while reducing infrastructure costs and improving business intelligence performance.

One of CarbonData’s key advantages is its ability to optimize read and write operations through columnar storage, predicate pushdown, and indexing technologies. These features help data engineers and analysts achieve lower query latency and better resource utilization across enterprise-scale analytics environments.

Suitable for data warehousing, ETL pipelines, big data analytics, reporting platforms, and Spark-based processing workloads, Apache CarbonData provides a powerful foundation for organizations seeking high-performance data storage and analytics solutions in cloud and on-premises environments.

To subscribe to this product from Azure Marketplace and deploy an instance using Azure Compute services, follow the steps below:

1. Navigate to Azure Marketplace and subscribe to the required product.
2. Search for Virtual Machines under Azure Services.
3. Click Add to open the Create a Virtual Machine page.

Create Virtual Machine

4. Under the Basics tab:
   
   • Select the appropriate subscription.
   • Create a new resource group (for example: myResourceGroup).
5. Under Instance Details:
   
   • Virtual Machine Name: myVM
   • Region: East US
   • Image: Ubuntu Server 24.04 LTS x64 Gen1/2
   • Keep remaining settings as default unless customization is required.
6. Under Administrator Account:
   
   • Authentication type: Password
   • Enter a username.
   • Create and confirm a strong password (use a secure combination of letters, numbers, and special characters).
7. Under Inbound Port Rules:
   
   • Select Allow selected ports
   • Enable:
     
     • SSH (22)
     • HTTP (80)
     • HTTPS (443)
8. Review the configuration and click Review + Create, then select Create to start deployment.

Deployment will take a few minutes to complete.

Connect to the Virtual Machine

1. Open the VM Overview page and click Connect.
2. Copy the public IP address of the virtual machine.
3. Open a terminal (Linux/macOS) or use PuTTY/Windows Terminal.
4. Connect using the following command:

ssh username@public-ip-address

5. When prompted, enter the password you created during VM setup to access the virtual machine.

Usage/Deployment Instructions

The complete deployment guide for this product is available in a detailed PDF document.
Please refer to the official deployment manual for step-by-step instructions, configuration details, and troubleshooting guidance.

Deployment Guide: Click Here