Databricks

Databricks is a cloud-based data analytics and AI platform designed for big data processing, data engineering, machine learning, and advanced analytics. Built on Apache Spark, Databricks provides a unified, collaborative environment that enables teams to process large-scale datasets efficiently and build end-to-end data pipelines and AI solutions.

Features of Databricks:

• High-performance data processing powered by Apache Spark.
• Unified platform for data engineering, data science, and machine learning.
• Collaborative web-based workspace with support for Python, SQL, Scala, and R.
• Scalable cloud-native architecture on AWS, Azure, and Google Cloud.
• Integrated support for Delta Lake, MLflow, and workflow automation.

To check the version of Databricks CLI, run the following command:

$ databricks version

Disclaimer: Databricks is a managed cloud platform provided by Databricks Inc. and operates within supported cloud environments. Users are responsible for configuring workspaces, access controls, clusters, and data security. While Databricks simplifies large-scale data processing and analytics, proper cloud configuration and governance are essential for secure and reliable operation.