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Databricks The Data Intelligence Platform

Databricks
Usage Based

Home: https://www.databricks.com

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Categories:
  • #data intelligence
  • #data management
  • #data sharing
  • #data lakehouse
  • #MLOps
  • #LLMOps

What is Databricks?

Databricks provides a comprehensive Data Intelligence Platform built for bringing AI to an organization's data. It offers a unified approach to data management, analytics, and artificial intelligence, streamlining workflows and simplifying complexity.

The platform enables companies to develop generative AI applications, empower data discovery using natural language, and gain efficiencies in their overall data strategy. Databricks emphasizes data privacy and control throughout the entire AI lifecycle.

Features

  • Data Management: Data reliability, security, and performance
  • Sharing: An open, secure, zero-copy sharing for all data
  • Data Warehousing: Serverless data warehouse for SQL analytics
  • Governance: Unified governance for all data, analytics and AI assets
  • Real-Time Analytics: Real-time analytics, AI and applications made simple
  • Artificial Intelligence: Build and deploy ML and GenAI applications
  • Data Engineering: ETL and orchestration for batch and streaming data
  • Business Intelligence: Intelligent analytics for real-world data
  • Data Science: Collaborative data science at scale

Use Cases

  • Building and deploying generative AI applications
  • Creating, tuning, and deploying custom generative AI models
  • Automating experiment tracking and governance in AI development
  • Deploying and monitoring AI models at scale
  • Performing data warehousing for SQL analytics
  • Conducting ETL and orchestration for batch and streaming data
  • Enabling business intelligence with real-world data
  • Facilitating collaborative data science projects
  • Real-time data analytics

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