At #DataAISummit, experience hands-on learning and accelerate your career! With our onsite trainings, you’ll get to expand your knowledge across a variety of topics — including #GenAI, data engineering, #ML, and data science. We’ll also be offering certifications at a 50% discount on site and a Learning Hub for attendees to engage and learn how to upskill your organization. Learn more👇 https://dbricks.co/3xRHzXU
About us
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and 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. --- Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). 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, and Artificial Intelligence
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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The Big Book of Generative AI brings together best practices and know-how for building production-quality #GenAI applications. Download and learn how to: 👉 Build a RAG application like a chatbot 👉 Fine-tune a foundation model 👉 Train your own foundation model from scratch ..and more! https://lnkd.in/gUfv2VuB
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Databricks Asset Bundles (DABs) is now GA! With DABs, easily bundle resources so you can version, test, deploy, and collaborate on your project as a unit. Streamline data, analytics, and AI project development on Databricks using software development best practices. Pieter Noordhuis, Saad Ansari, Lennart Kats, and Jackie Zhang share more: https://dbricks.co/3xQisoo
Announcing the General Availability of Databricks Asset Bundles | Databricks Blog
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Learn how to implement #GenAI in your organization at #DataAISummit! Attend one of our many GenAI sessions, including: ⭐ Building your first GenAI app ⭐ Data management in the age of GenAI and LLMs ⭐ Accelerating operational excellence with GenAI Register here: https://bit.ly/47S05M1
Home | Databricks
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#DatabricksSQL warehouses provide up to 12x improved price performance over standard interactive clusters. You can now use Databricks Notebooks on SQL Warehouses to write and schedule Git-backed, multi-statement, and parameterized SQL👇 https://dbricks.co/4agOeJo
Announcing the General Availability of Databricks Notebooks on SQL Warehouses | Databricks Blog
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In this free on-demand training, you’ll learn the fundamentals of #LLMs and how to assess its risks and challenges. Start now! And if you already have your badge, we want to see! Share it in the comments👇 https://dbricks.co/3uYY7fo
Generative AI Fundamentals | Databricks
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We are excited to release Meta's Llama 3 on Databricks. With Llama 3 on Databricks, enterprises of all sizes can deploy this new model via a fully managed API. Create high-quality, production-scale GenAI apps using the best model for your use case while securely leveraging your organization's unique data. https://dbricks.co/3Qcwffh
Building Enterprise GenAI Apps with Meta Llama 3 on Databricks | Databricks Blog
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The integration of Ray and Databricks offers a uniquely powerful solution to your AI development needs. Now in GA, see how this collaboration creates a cohesive ecosystem where logical and data parallelism thrive together: https://dbricks.co/3UhocQN
Use Ray on Databricks for new scalable AI applications | Databricks Blog
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Premier datasets in finance are now available on the #DatabricksMarketplace, thanks to ICE! You can now analyze: 📊 Trusted, end-of-day municipal bond pricing data 📈 Continuously produced yield curve data 🌎 Climate risk data for municipalities & securities These datasets enable key use cases like time-series analysis, relative value, spread analysis, and assessing climate risk exposure. https://dbricks.co/4cYPFOx