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  1. Databricks: Leading Data and AI Solutions for Enterprises

    Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

  2. What is Databricks? | Databricks Documentation

    May 5, 2025 · Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Databricks Data …

  3. データとAIの企業:未来をリードするデータインテリジェンスプ …

    Databricks プラットフォームは、生成 AI を活用した世界初のデータインテリジェンスプラットフォームです。 このプラットフォームは、データプライバシーの保護、AIモデルの生成と …

  4. Learn Databricks - Training & Resources | Databricks

    Explore Databricks resources for data and AI, including training, certification, events, and community support to enhance your skills.

  5. Lakeflow Declarative Pipelines concepts - Databricks

    Jun 11, 2025 · Lakeflow Declarative Pipelines is a declarative framework for developing and running batch and streaming data pipelines in SQL and Python. Lakeflow Declarative …

  6. Databricks IQ: AI-Driven Analytics for Faster Data Insights

    Databricks IQ powers AI-driven analytics to help you derive faster insights, optimize decision-making, and scale your data analytics workflows with ease.

  7. Databricks documentation | Databricks Documentation

    May 5, 2025 · Databricks documentation provides how-to guidance and reference information for data analysts, data scientists, and data engineers solving problems in analytics and AI.

  8. Agent Bricks | Databricks Documentation

    Jun 24, 2025 · How does Agent Bricks work? Agent Bricks is powered by Databricks Mosaic AI to allow users to deploy comprehensive AI agent systems customized with their unique data …

  9. Develop on Databricks

    Feb 7, 2025 · Learn about Databricks APIs and tools for developing collaborative data science, data engineering, and data analysis solutions in Databricks.

  10. Databricks components | Databricks Documentation

    Learn fundamental Databricks components such as workspaces, data objects, clusters, machine learning models, and access.