Martin Tombs

The dbt Semantic Layer is now integrated with Tableau Cloud 🤝 With this integration, teams can: • Bring governed dbt metrics directly into Tableau dashboards • Reduce metric drift and ensure consistent metrics and logic everywhere • Run complex queries that are built to work efficiently with your warehouse, so dashboards load faster and costs stay under control • Make self-serve analytics more reliable for business users Read more about the integration and partnership in Tableau’s blog in the comments.

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Did you know you can now use Snowflake Cortex AISQL in the SELECT clause for dynamic tables? This new capability brings AI-powered insights directly into your pipelines, allowing you to automatically analyze data as it updates. For example, you can use an LLM function like AI_FILTER to classify customer reviews or survey responses as they're ingested. This means you can get instant sentiment analysis on new data without any extra steps. Learn more: https://lnkd.in/gQCTt2gA

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Snowflake VP of Product Management, Christopher Child, and Box CTO, Ben Kus, lay out the prerequisite for real AI impact: unify your data and enforce governance before you bring models to the table. They contrast Snowflake’s strength in structured and semi-structured data with the high‑value unstructured content inside Box – documents, images, video – now unlockable thanks to generative AI, but only if you break down fragmented storage, modernize legacy systems, and apply clear policies. Their takeaway is clear: make data broadly accessible, apply strong governance, security, and policy controls, and ensure everyone knows what data is approved for AI– setting up Box + Snowflake as a complementary foundation for safe, scalable AI. Ready to bring AI to the enterprise the right way? Watch the full video here: https://lnkd.in/g4Yp7qxs

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Semantic Models are all the rage, and have been for over a decade. With Databricks' push around AI/BI, a semantic model is a vital part of the puzzle to be taken seriously in analytics. That's exactly what Unity Catalog Metric Views are - semantic models that live inside Unity Catalog within Databricks rather than downstream BI Tools... pretty nifty! In this video Simon quickly recaps how semantic models have evolved and how to think about them, before taking a quick look at what a sample metric view, as well as it's use in AI/BI Dashboards and Genie Spaces. We'll dive into the development process, complex scenarios and more in future videos! https://hubs.la/Q03K4vdn0 #DataEngineering #AnalyticsEngineering #Databricks #UnityCatalog #SemanticModels #DataModelling #DataLakehouse

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𝐏𝐚𝐧𝐭𝐡𝐞𝐫 𝐱 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬: 𝐀 𝐧𝐞𝐰 𝐤𝐢𝐧𝐝 𝐨𝐟 𝐒𝐎𝐂 𝐢𝐬 𝐡𝐞𝐫𝐞. We’re proud to partner with Databricks as a 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐂𝐲𝐛𝐞𝐫𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐥𝐚𝐮𝐧𝐜𝐡 𝐩𝐚𝐫𝐭𝐧𝐞𝐫, combining Databricks’ powerful lakehouse architecture with Panther’s AI-powered SIEM to deliver a new kind of SOC. This joint platform helps security teams: ⚡ Unify security data across all sources in your Databricks lakehouse, no custom pipelines required. 🤖 Automate alert triage and investigations with agentic AI that operates at cloud scale. 🚀 Accelerate detection and response with end-to-end workflows that cut investigation times from days to minutes. 𝐓𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭? A scalable, AI-driven SOC that delivers complete visibility, reduces costs, and frees teams from the engineering overhead that slows them down, all while challenging the legacy SIEM status quo. 👉 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐛𝐥𝐨𝐠 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬 to learn more and request early access to the Private Preview.

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Sharing data between standard Snowflake and China-based accounts can be tricky due to regulatory and architectural barriers. Vinodh Kumar Govindarajan and Sandeep M on the phData team have solutions. Their latest blog outlines practical, real-world strategies for enabling secure, bidirectional data sharing across borders by orchestrating external tables, cloud storage, and smart AWS automation. Ready to move data with confidence? Read the full blog today! 👇 https://lnkd.in/gg2JnkMN

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Westat has announced the launch of WesLytics, the data solution that brings the industry-leading Databricks AI and cloud management platform and our subject matter, technical, and methodological expertise to manage, engineer, and analyze data. With WesLytics, we are pioneering innovative, high-caliber solutions that are efficient and adaptable. Explore how we help clients solve complex challenges with data: https://lnkd.in/eZxchRAa

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