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* **Collaboration**: Strengthening partnerships between companies, research institutions, and technology providers.
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Now, let's explore the core components involved in using Databricks Asset Bundles. At the heart of it all is the `databricks.yml` file, which is the configuration file defining your project's structure, dependencies, and deployment settings. Notebooks, of course, are a fundamental part of most data science and engineering projects on Databricks. Data files can include anything from CSV files to large datasets that your notebooks will work with. Configurations might include Spark cluster settings, environment variables, or other project-specific parameters. Finally, there's the Databricks CLI, the command-line interface that you'll use to deploy and manage your asset bundles. Together, these pieces create a powerful system for managing your projects.