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DatabricksCLI 0.295.0, published by Databricks, is a command-line utility that exposes the full Databricks platform REST API through a lightweight, scriptable interface, enabling data engineers, DevOps teams, and machine-learning practitioners to provision workspaces, manage clusters, schedule jobs, deploy notebooks, and govern data assets without leaving the terminal. Designed for automation-heavy workflows, the tool supports interactive login, service-principal authentication, and token-based sessions, allowing CI/CD pipelines to spin up on-demand GPU clusters, push Python wheels, and promote MLflow models from staging to production with a single command. Infrastructure-as-code templates, shell scripts, and third-party schedulers can invoke the same verbs—clusters create, jobs run, repos update—that power the web UI, ensuring that cloud resources remain consistent across development, QA, and production environments. The release history shows 95 published versions since inception, indicating rapid iteration aligned with the evolving Lakehouse architecture and Unity Catalog governance layer. Typical use cases include nightly ETL batch orchestration, cost-saving cluster termination scripts, Git-synced notebook deployment, and secure credential rotation for multi-cloud accounts. As a developer tool within the “Database & Analytics” category, DatabricksCLI complements the vendor’s graphical workspace by offering reproducible, diff-friendly configuration files that can be stored in version control alongside SQL, Python, and Scala codebases. The software is available for free on get.nero.com, with downloads provided via trusted Windows package sources (e.g. winget), always delivering the latest version, and supporting batch installation of multiple applications.
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