Have an hour to uplevel your AI skills? This free training will give you the basic skills needed to start leveraging AI throughout your data processes, so you can: ✅ Drive better data understanding and faster insights on the Databricks Data Intelligence Platform ✅ Get proactive alerts for quality issues and errors in your pipelines ✅ Optimize your data layout automatically based on usage patterns ✅ Use one security + governance model to protect all your data, analytics and AI Get started here: https://dbricks.co/4iakotB
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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AI is transforming industries — but many organizations are still struggling to productionize and scale AI. Our recent Economist Impact report offers key insights from 1,100 technical executives, data engineers, and data scientists across 11 industries. Explore best practices and use cases for enterprise AI that are tailored to your industry’s specific needs and goals. Read the report: https://dbricks.co/4beOR7F
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Join us to hear about the vision, strategy, and roadmap of the Databricks Data Intelligence Platform. David C. Hackett, VP of Field Engineering at Databricks, will walk through the latest innovations and perspectives on AI, data sharing, and data + AI governance. Register now👇 https://lnkd.in/gjAhcsht
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Registration for #DataAISummit is now open! https://dbricks.co/4i7X93H Join us in San Francisco for the world’s largest data, analytics and AI conference. You’ll gain access to: - 700+ technical sessions - Live training on AI, data warehousing and data engineering - Networking opportunities with global professionals and experts - The latest announcements on the Data Intelligence Platform Early Bird pricing is on through April 30 — don’t miss it!
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Practitioners looking to expand their skills can build #GenAI expertise with our free, self-paced course — designed to: - Set up a dev environment, and prompt engineering components - Learn how to build AI agent systems - Fine-tune models - Determine best practices for governance across AI applications Earn your completion certificate by watching five short videos: https://dbricks.co/3CSwb0S
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Explore how organizations can join forces to combat fraud through Databricks Clean Rooms! Through Clean Rooms, two hypothetical banks can securely import their data & fraud detection models from different sources to: - Identify suspicious transactions - Detect potential fraudsters - Share results with full data governance & compliance Watch now: https://dbricks.co/42DDFzj
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Dive into best practices and tips on how to choose the best cluster configuration for sophisticated #MLOps workloads. This technical walkthrough discusses: - Cluster sizing - Single node vs multi-node - When to use Databricks Pools - And more https://lnkd.in/gTFvtsXd
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AI thrives on real-time data. Together, Databricks and Confluent make it happen. Databricks CEO Ali Ghodsi and Confluent CEO Jay Kreps share the importance of this partnership. As AI takes center stage in enterprise decision-making, access to trusted, real-time data will be key for meaningful AI innovation. Read the full article: https://dbricks.co/40WCoRm
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We’re super excited about our new partnership with SAP. SAP Databricks will bring the power of Databricks data engineering, AI/ML and data warehousing to your SAP data. - Unify SAP data with data from other enterprise systems - Govern your entire data estate consistently with Unity Catalog - Accelerate the development of advanced analytics and AI applications https://dbricks.co/4jTRXC1
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AT&T protects 182 million wireless customers from fraud, but as scams become more sophisticated, traditional ML models aren’t enough. With GenAI, AT&T is transforming fraud detection to stay ahead of evolving threats. AT&T leverages Databricks Mosaic AI to drive use cases such as: - Detecting fraud patterns in unstructured data - Proactive prevention to mitigate fraud before it occurs - Faster development of GenAI apps (from 1 week to 1 day) Learn more: https://dbricks.co/3Qj5tBK
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