Databricks

“Data intelligence for us is giving our business units the opportunity to make the best decisions.” Albert Heijn’s Technology Directory of Supply Chain, Roderick Linker shares how his company runs a smarter supply chain with Databricks. By unifying data across 1,276 stores and 15 warehouses, the Netherlands’ largest retailer reduces waste, cuts transport costs, and delivers fresher products 🥬 See how Albert Heijn is building a greener, more efficient future with secure, centralized forecasting and real-time insights: https://lnkd.in/gXMxPC6b

Tuning queries is a waste of time when data teams could be delivering insights at speed — which is why Databricks is pushing the limits of what’s possible with SQL performance Since 2022, DBSQL Serverless has delivered a 5x speed boost for real-world workloads. Now, new engine innovations like Predictive Query Execution and Photon Vectorized Shuffle make queries up to 25% faster, automatically and at no extra cost. Learn more: https://lnkd.in/gXG5UGzC

We heard from customers that data engineering teams spend too much time stitching tools together, instead of delivering insights that drive real business value That’s why we introduced Databricks Lakeflow—a unified solution for ingestion, transformation, and orchestration What’s new? More built-in connectors, high-throughput direct writes, a new declarative pipeline standard, and a purpose-built IDE. See how you can move fast with less complexity: https://lnkd.in/gu32DnFQ

At Databricks, we aim to make data and AI accessible to everyone — not only within a single organization, but across organizational boundaries. That’s why we're making data sharing and collaboration easier than ever with new Delta Sharing innovations, enhanced Clean Rooms for privacy-first collaboration, and a rapidly expanding Marketplace ecosystem. Explore these new features — and how they can transform the way your organization collaborates on data: https://lnkd.in/g75vHRnX

The technology behind transactional databases hasn’t evolved in the last 40 years… but Lakebase is changing that. Lakebase is our vision for the future of modern data: open, scalable, and AI-native. It is purpose-built for AI agents — and fully integrated into Lakehouse for unified operational and analytical workloads. Explore how we’re reimagining traditional OLTP databases, and introducing a new era of data infrastructure - via Tom Krazit: https://lnkd.in/gAxTF6Rv

Growing security and compliance demands call for advanced enterprise-level controls 🔒 The new Enterprise tier for Databricks on Google Cloud delivers precisely that — featuring Serverless Egress Control, Customer-Managed Keys, and Private Service Connect to simplify and elevate your organization’s security posture Learn more: https://lnkd.in/gEdHcpTh

Adoption of Databricks Apps has skyrocketed since the launch of Public Preview… and now, we’re excited to announce GA! With Databricks Apps, users can build, deploy, and scale interactive data intelligence apps in a fully governed, secure production environment — avoiding replatforming, duplicate data, or security trade-offs when moving from concept to production. Over 20,000 apps have already been built across more than 2,500 organizations. See the latest innovations: https://lnkd.in/gzSGzsSg

We're donating Declarative Pipelines - a proven standard for building reliable, scalable data pipelines - to Apache Spark™. Based on our core declarative ETL framework, Spark Declarative Pipelines helps engineers tackle common challenges like complex pipeline authoring, operational overhead, and siloed batch and streaming workloads. https://lnkd.in/g7vn4ftp

GenAI has changed how organizations think about quality. How do you evaluate if a response is “good”? Debug multi-step prompt chains? Mlflow 3.0 includes new capabilities that solve common challenges around quality measurement, observability and continuous improvement. A unified platform to trace, evaluate, debug, and improve GenAI applications — with full support for traditional ML and deep learning. Get started with MLflow 3.0 in open source or on Databricks: https://lnkd.in/gRj7RmtR

Summit Live, a #DataAISummit broadcast featuring expert commentary from Jonathan Frankle and other leaders on the latest innovations in data and AI—is now available to watch on-demand! Some of the topics covered: - Democratizing consumption and growing ROI - What's new with Databricks - Popular AI use cases by industry - How Databricks uses Databricks Watch the full experience: https://lnkd.in/gHrmGu7E