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With Databricks, lineage, quality, control and data privacy are maintained across the entire AI workflow, powering a complete set of tools to deliver any AI use case. Create, tune and deploy your own generative AI models
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 Intelligence Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure on your behalf.
Explore Databricks resources for data and AI, including training, certification, events, and community support to enhance your skills.
Databricks, Inc. is a global data, analytics and artificial intelligence company founded by the original creators of Apache Spark. [3] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.
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Try Databricks free. Test-drive the full Databricks platform free for 14 days on your choice of AWS, Microsoft Azure or Google Cloud. Sign-up with your work email to elevate your trial experience. Create high quality Generative AI applications.
Learn fundamental Databricks concepts such as workspaces, data objects, clusters, machine learning models, and access.
Databricks documentation provides how-to guidance and reference information for data analysts, data scientists, and data engineers solving problems in analytics and AI. The Databricks Data Intelligence Platform enables data teams to collaborate on data stored in the lakehouse.
May 22, 2024 · Azure Databricks provides tools that help you connect your sources of data to one platform to process, store, share, analyze, model, and monetize datasets with solutions from BI to generative AI. The Azure Databricks workspace provides a unified interface and tools for most data tasks, including:
Databricks, founded by the creators of Apache Spark™, offers a unified data and AI platform, enabling over 9,000 organizations to solve complex data challenges.
