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  1. High-level architecture | Databricks on AWS

    Get a high-level overview of Databricks platform architecture, including control plane, compute plane, and storage components.

  2. Architecture | Databricks on AWS

    Sep 15, 2025 · Understand the foundational architecture of Databricks. Apply proven architectural principles and best practices to build robust and scalable lakehouse solutions.

  3. Lakehouse reference architectures (download) - Databricks on AWS

    Overview of the lakehouse architecture in terms of data source, ingestion, transformation, querying and processing, serving, analysis, and storage.

  4. Data lakehouse architecture: Databricks well-architected framework

    Introduction to a set of architecture articles providing principles and best practices for the implementation and operation of the Databricks lakehouse.

  5. Introduction to the well-architected data lakehouse - Databricks

    Downloadable architecture blueprints outline the recommended setup of the Databricks Data Intelligence Platform and its integration with cloud providers' services.

  6. Data Warehousing AI Databricks Functions SQL Batch & Streaming Data Data Intelligence Intelligence Engine Engine (Databricks (Databricks IQ) IQ) Other clouds Ingest tool

  7. What is - Databricks on AWS

    Databricks combines the power of Apache Spark with Delta and custom tools to provide an unrivaled ETL experience. Use SQL, Python, and Scala to compose ETL logic and orchestrate …

  8. The scope of the lakehouse platform | Databricks on AWS

    The Data Intelligence Platform is built on the lakehouse architecture and enhanced by Databricks AI-powered features. Databricks AI combines generative AI with the unification benefits of the …

  9. Data warehousing architecture - Databricks on AWS

    Jul 14, 2025 · Architecture and patterns for data warehousing on Databricks including lakehouse architecture, medallion patterns, and data modeling approaches.

  10. AI and machine learning on Databricks

    Build AI and machine learning applications on Databricks using unified data and ML platform capabilities.