Databricks

We’re proud to be named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms for the fourth time! Databricks is positioned highest in Ability to Execute and furthest in Completeness of Vision. We believe this reinforces our reputation as a trusted platform with proven success in Data Science, ML and AI. 📘 Get the report: https://lnkd.in/g-gVaigH

After many years of investing in DATA & AI we were announced as leaders of leaders in Gartner Magic Quadrant on Data Science and Machine Learning (yes, the Databricks is the dot top top on the far right!). This has been a long journey. Many years ago Gartner told us we would be in the Niche (bottom left) quadrant. We were very upset. Over time we worked hard and moved to the Visionary (bottom right) Quadrant. Every year, Gartner would survey what AI capabilities all enterprises want, survey what all competitors are doing, and grill us on 100s of capabilities that we were lacking. They also would relay to us customer feedback that was not so complimentary. Every year we would go back to the drawing board and change our roadmaps and work with customers to build those capabilities. Finally after many years, we now have a DATA + AI platform that fuses the critical user journeys that enterprises need to succeed with DATA + AI. Thank you Gartner and all the brilliant analysts there for making us better.

AI is reshaping the workplace, and we’ve got the training you need to stay ahead. At #DataAISummit, up with hands-on training, certification opportunities, and over 700 breakout sessions on topics from AI agents to Databricks SQL. Keep up with data engineering best practices and learn how companies like JLL and 84.51˚ are building AI-ready workforces: https://lnkd.in/gMrEZrvF

Legacy data architecture can drive up costs and hinder decision-making due to siloed data. Most companies have moved from on-premises data lakes to modern cloud architectures. But what if you are ingesting more than 10 petabytes of data per day, and managing 100 million petabytes across your network? See how AT&T orchestrated a complex data center migration and yielded 300% ROI: https://lnkd.in/gAZF-r8N

Shift into high gear with Trek Bicycle at #DataAISummit 2025… and win a free bike while you’re at it 🚲 With the Data Intelligence Platform, Trek is seamlessly handling product development and customer experiences through… 🚲 Unified global data — from supply chain to rider feedback — for faster, smarter decisions 🚲 Machine learning models — to predict demand and optimize inventory across 90+ markets 🚲 Accelerated time-to-insight from weeks to hours — helping teams deliver what riders want, when they want it Check out a Trek bike in action at their booth in the Sustainability Lounge — and don’t miss your chance to take one home.

“Without knowledge of semantics, Agentic BI is useless.” Our Co-founder and Chief Architect Reynold Xin discusses the importance of data intelligence for democratizing BI in the AI era. He joined a panel of industry experts, including Howard Dresner (the visionary who coined the term “modern business intelligence”), to discuss best practices, real-world use cases, and future trends for for AI-powered BI. Watch on demand: https://lnkd.in/gqFX6nkX

When migrating your data warehouse, do you replicate what exists or reimagine it for the future? This is an architectural decision that typically comes down to two core approaches: - Move workloads as-is to accelerate the migration - Redesign the platform to unlock long-term efficiency and scale We break down the tradeoffs of each and why a hybrid approach may be the key to long-term success: https://lnkd.in/gPYaYBzV

KPMG is leading the AI transformation for audit, tax and advisory services. To do this, KPMG built a best-in-class modern data platform that relies on Azure Databricks as the engine for executing business logic across the organization. “AI will continue to dominate our business, from the way we run ourselves internally to taking advantage of the right tooling to deliver impact to our engagement teams and ultimately to our customers.” See how KPMG powers their AI initiatives: https://lnkd.in/dQRsuD2R

Now more than ever, business leaders need to balance driving AI initiatives and with risk management and governance. We created a multi-step approach and practical framework to simplify the management of AI risk. These steps provide a structured approach for organizations to identify, assess and mitigate AI risks — supporting AI innovation while aligning to business priorities. Explore the best practices here: https://bit.ly/3YM2qqn

Introducing #ApacheSpark 4.0! Designed to be more powerful, ANSI-compliant and user-friendly than ever. Updates include: ✅ Major Spark Connect enhancements with improved compatibility and multi-language support ✅ SQL language features like reusable SQL UDFs and PIPE syntax ✅ ANSI SQL mode enabled by default for stronger data integrity and interoperability ✅ Python API updates like native plotting support and Python Data Source API ✅ Structured Streaming improvements for better performance, usability and observability. Get the full rundown: https://lnkd.in/eEZrxVwJ