👋 Joe Karlsson

The Databricks Startups team answers founders’ most common AI questions—where to start without hype, how to stay compliant with sensitive data, what to build versus buy, how to cut hallucinations, and how to keep costs in check. 💡 Get step‑by‑step starting points, governance patterns for sensitive data, a pragmatic build‑versus‑buy lens, tactics to curb hallucinations, and cost controls that scale. 🔗 Full post: https://lnkd.in/ehRa3Yp5 #Databricks #DatabricksForStartups #AI #GenAI #MLOps

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If your team is building with LLMs, you know the value of clean, retrievable data. That's why we're teaming up with Unstructured to streamline one of the hardest parts of AI development. This integration removes friction across the AI stack—from unstructured ingestion to semantic retrieval—so your teams can focus on building. Read more from our Product Marketing Managers, Rini Vasan and Jim Allen Wallace, and Unstructured’s Head of Developer Relations, Maria Khalusova here: https://lnkd.in/e98QqXAB

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Multiple databases. One platform. MySQL. MongoDB. Redis. Elasticsearch. Your data stack isn’t the problem, managing consistency, migrations, and performance across all of them is. Every schema change feels risky. Every migration invites downtime. Every integration adds another layer of complexity. COCREATE brings order to your data chaos: - Standardized integration templates for MySQL, MongoDB, Redis & Elasticsearch - Built-in migration tools embedded directly in integration flows - Real-time monitoring for latency, throughput & performance Before you go live, run migrations safely in COCREATE’s sandbox environments. Validate schema consistency. Measure performance. Roll out with zero surprises. Your data deserves smarter integrations, not riskier ones. Build, migrate, and optimize your databases seamlessly with COCREATE. Explore more at https://lnkd.in/d4yXMwxh #DataEngineering #DevOps #MySQL #MongoDB #Redis #Elasticsearch #DataMigration #DatabaseManagement

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Databricks isn’t the problem. The missing orchestration layer is. Even with millions invested, too many teams end up with: 😱 Endless engineering backlogs 😱 Fragile, inconsistent pipelines 😱 Stakeholders shut out of the process The result? Zero trust. Zero impact. In our free whitepaper, we break down the 5-step action plan to turn Databricks into real business value. Link in the comments ⬇️

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"All-in-One" Suite 🆚 "Best-of-Breed" Approach Most organizations aren’t 100% on any single platform. Heterogeneity is the norm. That’s why metadata freedom is becoming a critical architectural discussion. 👉 Full read: https://lnkd.in/gHnrPvxd In this article, we break down: • why vendor lock-in matters more at the metadata layer • how multi-engine environments change governance • the tradeoffs between open catalogs and vertically integrated platforms This topic affects every engineering team operating across Spark, Trino, Flink, warehouses, vector stores, and AI systems.

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⚠️ When your LLM wows with demos but fails in production… It's often because of data. Learn the five infrastructure pitfalls that derail real‑world performance, and how better data sets and structure can turn things around. Want clarity? Read the full breakdown 👉 https://lnkd.in/gNseMHNE 

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🔥 Data isn’t just the new oil—it’s rocket fuel. And Databricks is our launchpad.🔥 From wrangling messy datasets to powering real-time insights, our team has been pushing boundaries with Databricks—and the results speak for themselves. 💡 Whether it’s building lightning-fast pipelines with Apache Spark, simplifying governance with Unity Catalog, or scaling machine learning with MLflow, we’re turning complexity into clarity. Here’s what’s exciting us right now: ⚙️ Seamless cloud integration (Azure, AWS, GCP) ⚡ Real-time data processing that actually delivers 📚 Collaborative notebooks that make teamwork feel effortless 🔐 Enterprise-grade security and governance baked in We’re not just using #Databricks—we’re building with it, experimenting with it, and evolving through it. 🚀 If you're exploring modern data platforms or just curious how Databricks can transform your data game, let’s #connect. We love sharing what we learn. #Databricks #ApacheSpark #DeltaLake #MLflow #DataEngineering #CloudComputing #BigData #AI #MachineLearning #TechInnovation #DigitalTransformation #StreamingData #DataScience #FutureOfData #asyva

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Data provisioning shouldn't be the bottleneck holding back your AI or analytics strategy. But too often, it is. This guide break down how to deliver secure, scalable data access–without all the friction. If your'e responsible for getting the rigth data to the right people, this is your blueprint. What you'll learn: - How to operationalize secure data access across domains - Why traditional data catalogs fall short–and how to fill the gaps - Build vs. buy: what it really takes to stand up a data marketplace - Proven steps to drive ROI and deliver business impact Get the guide: https://lnkd.in/gsdxJ7pj

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