Tutorial - Databricks Platform Architecture | Databricks Academy

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In this Databricks tutorial you will learn the Databricks Platform Architecture basics for beginners. The Databricks Lakehouse Platform provides a unified set of tools for building, deploying, sharing, and maintaining enterprise-grade data solutions at scale. Customers who fully embrace the lakehouse take advantage of our unified platform to build and deploy data engineering workflows, machine learning models, and analytics dashboards that power innovations and insights across an organization. Databricks integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure on your behalf.

The Databricks workspace provides user interfaces for many core data tasks, including tools for the following:
Interactive notebooks
Workflows scheduler and manager
SQL editor and dashboards
Data ingestion and governance
Data discovery, annotation, and exploration
Compute management
Machine learning (ML) experiment tracking
ML model serving
A feature store
Source control with Git

In addition to the workspace UI, you can interact with Databricks programmatically with the following tools:
REST API
CLI
Terraform

Visit the Databricks docs to learn more:
AWS https://docs.databricks.com/workspace...
Azure https://learn.microsoft.com/en-us/azu...
GCP https://docs.gcp.databricks.com/intro...

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