Pyspark-On-Debian12
by Cloudtrio Solutions
Debian 12 VM with preconfigured PySpark and Jupyter Notebook for big data analytics
PySpark on Debian 12 provides a fully preconfigured environment for big data analytics, ETL pipelines, distributed computing, and Python-based data engineering on Azure. It is designed for users who want a ready-to-use Spark environment without complex setup or configuration.
This image includes Apache PySpark, OpenJDK 11, Python 3, and Jupyter Notebook, allowing you to run PySpark workloads directly in the browser. Simply deploy the VM and start building data workflows, analytics models, or Spark-based applications instantly.
Get started with "PySpark on Debian 12" — a secure, stable, and optimized environment tested for Azure cloud deployments. This solution simplifies setup and accelerates development so data engineers, analysts, and developers can focus on insights rather than infrastructure.
Developed and validated by CloudTrio Solutions, this VM image offers a seamless experience for running PySpark workloads on Azure. Our team is available 24/7 via phone and email for assistance with deployment or configuration.
Key Features in PySpark on Debian 12:
- Preconfigured PySpark environment for immediate use
- Jupyter Notebook enabled for interactive analytics
- OpenJDK 11 and Python 3 preinstalled
- Optimized for big data processing and ETL workflows
- Secure, open-source, and cost-effective
- Ready for scaling across Azure compute resources
Disclaimer: CloudTrio Solutions does not provide commercial licenses for any open-source software included in this image. All software components are distributed under their respective open-source licenses.
Default Port: 8888
Allowed Port: 8888 (Jupyter Notebook)
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