"Generative AI removes the friction between intention and taking action." Databricks Chief AI Officer Naveen Rao shares how accessible user interfaces and streamlined workflows play a critical role in driving AI adoption. Watch Naveen’s full keynote from MWC Barcelona: https://dbricks.co/4iXsh6b
About us
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- Website
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https://databricks.com
External link for Databricks
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Specialties
- Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, and AI/ML Ops
Products
The Databricks Data Intelligence Platform
Data Science & Machine Learning Platforms
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data.
Locations
Employees at Databricks
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Ryan Donahue
VP Product Design at Databricks
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Alfred Chu
VC
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Ashu Garg
Enterprise VC-engineer-company builder. Early investor in @databricks, @tubi and 6 other unicorns - @cohesity, @eightfold, @turing, @anyscale…
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Michael J. Franklin
Professor of Computer Science, University of Chicago
Updates
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Create Tableau Cloud visualizations directly from Unity Catalog in just a few clicks! Explore in Tableau is now in GA. This feature simplifies catalog integration and data model syncing, so you can send datasets to Tableau Cloud without manual setup. See how to get started: https://dbricks.co/41MvxdT
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“The heart of the sports industry is in the statistics.” Bala Meenakshisundaram, Chief Technology and Data Officer at the National Rugby League (NRL), on how data intelligence and AI are transforming the sports industry. Discover how the NRL leverages data intelligence to deliver real-time stats to commentators and create a "One Fan View" that aggregates data across various customer touch points.
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We're excited to announce that FactSet is now on Databricks Marketplace! This strategic partnership will help enhance financial services firms' capabilities with AI-driven insights. "This collaboration eliminates complexity for our mutual clients. By integrating FactSet’s trusted financial content natively into Databricks’ platform, we enable direct access to critical data without the time-consuming ETL processes. That means clients can spend less time on data prep and more time focused on high-value analysis and delivering impactful insights." - Todd Hartmann, Senior Director of Product Management at FactSet https://dbricks.co/4bLnGBV
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Enterprises are rapidly adopting both basic AI tools like chatbots and advanced systems like autonomous AI agents. How do AI strategies vary across industries? Here’s a glimpse into how different industries are applying AI in unique ways. https://lnkd.in/gjUtV32r
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Announcing the General Availability of Hive Metastore and AWS Glue Federation in Unity Catalog! Now you can connect your existing HMS and AWS Glue catalogs directly to Unity Catalog without manual metadata migration. Leverage Unity Catalog's fine-grained access controls, tagging, classification, lineage, and audit capabilities on top of the data stored in HMS and AWS Glue. https://dbricks.co/49H5Pek
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Implement dimensional data warehouses in Databricks SQL to optimize for fast query performance 💪 This 3-part series walks you through the basics and best practices of dimensional modeling. First up, key steps and considerations for defining data objects: https://dbricks.co/4hiUa7G
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You can now publish tables to multiple schemas and catalogs from a single DLT pipeline! Consolidate your medallion architecture into a single pipeline while maintaining organizational and governance best practices. Learn more 👇 https://dbricks.co/4hH0Pse
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Insatiable data demands can lead to complex data infrastructures. Our comprehensive guide to data warehousing shows you how to turn large volumes of raw data into actionable insights! Explore: ✅ AI-optimized serverless data warehouses ✅ Democratized analytics, powered by GenAI and data intelligence ✅ Reference architectures and best practices for getting started Get the guide: https://dbricks.co/40CzEIA
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Enterprises want to apply AI to their data at scale but are slowed by the infrastructure barriers to provision #LLMs and manage them. Mosaic AI now supports native batch inference as a SQL statement within existing data workflows — making it faster, more scalable, and easier to manage. Altana is already seeing the value of running large-scale AI workloads instantly: - Seamless SQL integration for AI inference - Serverless, with no infrastructure management required - Lower costs, reduced complexity Read more: https://dbricks.co/4iJ8Iym
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