Whether you’re generating dashboards or powering artificial intelligence applications, data engineering provides the backbone for data-centric companies by making sure data is available, clean, and stored in data models that allow for efficient discovery and use. It removes many of the burdens and concerns of working with cloud infrastructure, without limiting the customizations and control experienced data, operations, and security teams require. Databricks makes it easy for new users to get started on the platform. Unity Catalog further extends this relationship, allowing you to manage permissions for accessing data using familiar SQL syntax from within Databricks.ĭatabricks workspaces meet the security and networking requirements of some of the world’s largest and most security-minded companies. Instead, you configure a Databricks workspace by configuring secure integrations between the Databricks platform and your cloud account, and then Databricks deploys compute clusters using cloud resources in your account to process and store data in object storage and other integrated services you control.

Unlike many enterprise data companies, Databricks does not force you to migrate your data into proprietary storage systems to use the platform. The customer-owned infrastructure managed in collaboration by Databricks and your company. The infrastructure used by Databricks to deploy, configure, and manage the platform and services. The Databricks platform architecture comprises two primary parts:

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