Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Convert Foreign Tables makes it easier to start using data that lives in other systems, without committing to a full migration. It brings federated data under Unity Catalog governance, so teams can work across systems while staying controlled and safe. Watch Nick Karpov and Holly Smith break this down alongside other December updates on the latest episode of Over Architected. https://lnkd.in/gDxi_yXz
About us
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- 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
-
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
![Click here to view The Databricks Data Intelligence Platform]()
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
Updates
-
AI agents help teams work smarter, automate everyday tasks, and drive innovation. In just four short videos, this training covers the fundamentals of AI agents and shows real-world examples of how they create value across industries. Complete the quiz to earn a Databricks badge and showcase your skills on LinkedIn or your résumé! 🔰 https://lnkd.in/grk2HAmq
-
Where should data and AI leaders be focusing their investments for 2026? Databricks leaders Dael Williamson and Robin Sutara share the biggest trends they’re seeing, based on conversations with executives across industries. Key takeaways: - Model choice is non-negotiable - Governance is foundational for AI agent systems - The greatest returns come from pairing AI with human expertise Get the full breakdown: https://lnkd.in/ggtJZafi
-
Machine learning is evolving fast, and so are the ways teams are putting it to work. Explore real-world examples — like preventing stockouts, scaling geospatial analysis, optimizing production, advancing drug discovery, and detecting fraud — all with ready-to-use code and notebooks: https://lnkd.in/ghbp_FHs
-
The LSEG–Databricks partnership brings trusted financial data closer to where AI and analytics are built. In a conversation with LSEG’s Emily Prince and Databricks’ Junta N., they share why combining high-quality data with a scalable platform matters for AI-native workflows—and how it unlocks new opportunities across risk management, personalization, and investment strategies. Watch the full conversation: https://lnkd.in/gdqx3jdG
-
What began as a hackathon prototype is now how Databricks infrastructure engineers debug thousands of OLTP databases at scale. The team built an AI-driven, agentic platform that unifies metrics, logs, and workflows into a single investigation flow. By centralizing context and layering intelligence on top, engineers move from fragmented, manual debugging to guided reasoning — cutting investigation time by up to 90% and making it easier for new teammates to get started. See how: https://lnkd.in/gZyzsHSu
-
-
Databricks CEO Ali Ghodsi shared what we'll see in 2026 at the Fortune Brainstorm AI event. Real value for enterprises will come from reasoning over proprietary data. The challenge isn’t access to AI, but applying it securely and effectively inside the enterprise. Watch the full conversation: https://lnkd.in/gmsNGfzy
-
Serverless Workspaces make it possible to create new Databricks workspaces in seconds, without setting up cloud networking, storage, or clusters. Teams get immediate access to serverless compute, Default Storage, and their existing Unity Catalog–governed data. Cost visibility and budget guardrails are built in, so teams can move fast without changing their security or governance model. Now available in Public Preview: https://lnkd.in/gvrmZjxS
-
-
The Databricks Architecture Center is your hub for practical ways to build pipelines, dashboards, and AI models 👇 Find designs for common data and AI projects across use cases: - Intelligent Data Warehousing on Databricks - Reference Architecture for Credit Loss Forecasting - Telecom Next Best Action Reference Architecture - and much more! https://lnkd.in/gcpPM8_i
-
-
Learn Databricks in under two hours as Alex Freberg walks through the platform end to end, including: – Importing files and data sources – Exploring SQL Editor and notebooks – Building dashboards – And trying out AI tools like Genie and the Databricks Assistant Follow along with Databricks Free Edition: https://lnkd.in/gZPbTyUQ