![]() ![]() How does Azure Databricks work with Azure? The following technologies are open source projects founded by Databricks employees:Īzure Databricks maintains a number of proprietary tools that integrate and expand these technologies to add optimized performance and ease of use, such as the following: Databricks manages updates of open source integrations in the Databricks Runtime releases. In addition to the workspace UI, you can interact with Azure Databricks programmatically with the following tools:ĭatabricks has a strong commitment to the open source community. Machine learning (ML) modeling and tracking.Data discovery, annotation, and exploration.Managing security, governance, and HA/DR.Generating dashboards and visualizations.Data processing workflows scheduling and management.The Azure Databricks workspace provides a unified interface and tools for most data tasks, including: ![]() ![]() Use the Azure Databricks platform to build and deploy data engineering workflows, machine learning models, analytics dashboards, and more. Our customers use Azure Databricks to process, store, clean, share, analyze, model, and monetize their datasets with solutions from BI to machine learning. The Azure Databricks Lakehouse Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure on your behalf. Azure Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. ![]()
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