Databricks

Legacy data warehouses were not built for the scale, flexibility, and AI workloads modern teams are trying to support. This eBook explores how organizations are modernizing on Databricks with: • Elastic scalability • Lower infrastructure costs • Support for real-time analytics, AI, and ML Learn practical migration strategies using POCs, MVPs, and Databricks-native tools designed to reduce risk and help teams move faster. https://lnkd.in/g7uGM8_b

Can’t make it to San Francisco for #DataAISummit 2026? Join the virtual experience on June 16–17 for: ✔️ Livestreamed keynotes ✔️ Select sessions ✔️ Major announcements ✔️ Summit Live commentary ✔️ On-demand access after the event ✔️ Exclusive online training Register for the free virtual event today: https://lnkd.in/g6TrEgb9

Don’t just write step-by-step Spark code. Build end-to-end data pipelines in Databricks using SQL and declarative pipelines! This hands-on 2-hour course with Andreas Kretz covers: • Delta Lake and Unity Catalog fundamentals • Bronze → Silver → Gold medallion architecture • Lakeflow Designer and declarative pipelines • Genie and Databricks Assistant workflows • Scheduling and streaming with AWS message queues All through a pipeline that goes from raw ingestion to analytics-ready tables. https://lnkd.in/gYJd7vPk

The Databricks Apps & Agents for Good Hackathon is back at #DataAISummit 2026! In partnership with OpenAI, this two-day hackathon brings developers, engineers, and AI builders together to create agentic data applications for social impact using Lakebase, Agent Bricks, and Databricks Apps. Applications are open for teams of 2–4 and close on 5/31. If you're attending Data + AI Summit, apply now to secure your spot ↓ https://lnkd.in/gzwS-zgH

🧞 Genie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience. With natural language, teams can: • Generate production-ready pipelines and orchestrate jobs • Trace lineage and understand how data flows through pipelines • Diagnose failures and review proposed fixes before applying changes • Extend existing workflows with Auto Loader, AutoCDC, and medallion architectures while staying aligned with governance and operational standards https://lnkd.in/gK9UGTy5

Data + AI Summit 2026 Session Scheduler is now live! Ready, set, schedule. There’s a lot happening at #DataAISummit, and now’s your chance to lock in your on-site experience. Start building your agenda now 👇 https://lnkd.in/gvmEp7Aq

Databricks consulting and SI partners are building industry-specific conversational AI solutions on top of Databricks Genie to help organizations move from static dashboards and reporting queues to real-time, governed insights. The latest partner solutions span financial services, healthcare, retail, manufacturing, media, energy, and the public sector, supporting use cases ranging from risk monitoring and supply chain intelligence to clinical analytics and customer engagement. Explore how partners are combining domain expertise with Databricks Genie to accelerate enterprise AI adoption across industries. https://lnkd.in/gxakKSVV

Modern analytics needs more than dashboards. It needs a new foundation. This free one-hour course covers: • Delivering trusted, AI-powered insights using unified data, governance, business logic, and the lakehouse • AI/BI Dashboards, Genie spaces, semantic layers, and data transformation approaches for modern analytics workflows • How to unify analytics workloads on the lakehouse • A short quiz to earn a Databricks badge for LinkedIn or your résumé! 🔰 https://lnkd.in/g_eiia9h

"AI doesn't have an intelligence problem. AI has a context problem. The top-of-mind question for every CEO on the planet is: How do we feed it that context? And that context is in the data." Databricks co-founder and CEO Ali Ghodsi joined Jim Cramer on CNBC's Mad Money to discuss how context is the missing piece for enterprise AI agents to reach their potential and how Databricks Genie, built around an ontology graph that maps a company's data, gets them there. Watch the full segment: https://lnkd.in/gwJAk5jd

SAP Business Data Cloud now automatically syncs semantic metadata and governance tags into Databricks Unity Catalog, making SAP data more understandable, discoverable, and AI-ready from the moment it’s accessed. Highlights: • Automatic sync of descriptions and primary/foreign key relationships into Unity Catalog • PersonalData governance tags for fine-grained access controls with ABAC • Business context available to AI applications without manual enrichment or tagging https://lnkd.in/gAuABm2m