Databricks
@databricks
Databricks is the data and AI company, helping data + AI teams solve the world’s toughest problems.
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High-concurrency, low-latency data warehousing is critical for real-time decisions. Get practical guidance on architecting a production-grade warehouse. Key considerations, implementation practices, and tuning techniques to help you balance speed, scale, and cost:…
Databricks. One of the best platforms for Analytics, Data, and AI. And in this weeks lesson we are learning how to use SQL and build Visualizations! We will use SQL to get the data we need, build Visualizations in a dashboard, and work with Filters! youtube.com/watch?v=3DZQop…
youtube.com
YouTube
Analyzing Data with SQL and Visualizations in Databricks
.@alighodsi and @sama on what organizations can do now to improve their AI outcomes: “Make your data secure, governed, and accessible so AI can actually use it.” Watch the full conversation to hear their perspectives on the Databricks and @OpenAI partnership, how AI agents will…
“The best part of this demo was the part that wasn’t in the demo. You didn’t do any data engineering, you didn’t do any copying of data, you just got your SAP data product and started to go.” Shanku Niyogi and Anavi Nahar demonstrate how @SAP Databricks on Azure brings SAP and…
.@Google's Gemini 3 models are now available on Databricks! Gemini 3 brings faster reasoning, stronger factual accuracy, and richer multimodal capabilities, from image and video understanding to ultra-long-context RAG, summarization, and classification for both batch and…
We’re super excited for #MSIgnite this week, where we’ll be talking about how the most innovative companies in the world are building agents with their data on Azure Databricks! databricks.com/blog/azure-dat…
Databricks now supports Apache Iceberg v3, giving customers a unified and high-performance open data layer! Iceberg v3 brings key capabilities to all managed tables: • Deletion vectors for faster updates • Row-level lineage for row-level concurrency • Variant data type for…
We’re heading to #AWSreInvent! Join Databricks this December in Las Vegas to explore the latest in enterprise AI. Learn how organizations are building high-quality AI agents with Agent Bricks. Stop by Booth #1420 to meet the team, see live demos, and learn how organizations are…
Evaluating LLMs goes beyond simple benchmarks. Building reliable and safe AI requires a complete view of model quality that combines quantitative metrics, automated LLM judges, and human evaluation for context and nuance. Learn how leading teams assess performance, safety, and…
Many data teams still rely on cron-style schedules to guess when data is available, which can lead to wasted compute and delayed insights. Table update triggers in Lakeflow Jobs changes that. Jobs now run automatically as soon as a table is updated, helping teams cut costs,…
Manufacturers need real-time visibility to keep equipment running efficiently and avoid costly downtime. With the Databricks Digital Twin Solution Accelerator, teams can stream live telemetry data using Zerobus Ingest, and build interactive monitoring apps directly in the…
Now it’s even easier to create benchmarks to support AI agent evaluation. Create up to 500 questions and gold-standard answers to evaluate responses against. Hear about this, thinking traces and other updates for evaluating and refining AI agent outputs. Watch the latest…
Databricks: 'PDF parsing for agentic AI is still unsolved' — new tool replaces multi-service pipelines with single function venturebeat.com/ai/databricks-…
Data teams shouldn’t need to switch languages just to ship production pipelines. This guide shows how to build and deploy real-time ETL pipelines entirely in SQL—using streaming tables, materialized views, and declarative workflows to move from prototype to production without…
ai_parse_document is a new AI Function that makes it easy to extract structured content from unstructured documents, so you can leverage all your data with your AI. Databricks MVP Conner Schiissler put ai_parse_document() to the test — and the results were impressive:…
Enterprises are sitting on massive amounts of SAP and external data, but getting a unified view for analytics and AI has always been a challenge. In this #MSIgnite session, the speakers will share how SAP Databricks on Azure connects the Databricks Platform with SAP Business…
Databricks CEO @alighodsi sat down with @theCUBE, to talk about AI adoption and how Databricks is focused on helping companies build agents to automate mundane tasks while keeping governance and security front and center. Watch the full conversation with @furrier:…
Afternoon sessions are underway at #DataAIWorldTour NYC, covering what’s next for data, AI, and AI agents! The expo floor is packed with attendees visiting sponsor and partner booths.
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