Matthew Roche

As data moves into Microsoft #PowerBI, access controls from platforms like Snowflake and Databricks often break down—exposing sensitive data and creating compliance gaps. TrustLogix extends enterprise access policies into Power BI, so analysts can work with governed data across both direct queries and imported datasets. The result: consistent controls, fewer risks, and faster, trusted insights. 🔗 Learn how it works: https://hubs.li/Q03r84n40 #DSPM #DataAccessGovernance #Snowflake #Databricks

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Snowflake Intelligence: From Data to Decisions - Atrium's AI: AI projects fail when data quality is poor and siloed. At its core, the Snowflake platform solves this by giving access to unified insights with ...

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“It’s not whether you can build the system. It’s whether you can build the right one.” Modern tooling makes it easy to stand up production-grade data systems. The harder problem is defining shared concepts across an entire firm and ensuring those definitions hold as the organization grows. In our latest Substack post, we write about how data strategy has shifted from a technical challenge to a business one, and what that means in practice. 🔗 https://lnkd.in/ej3caCXp

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Snowflake credits aren’t just compute. They hide in storage too. Unused dev/test databases, stale tables, and long Time Travel or Fail-Safe settings silently drain budgets every month. Many teams never notice until credit burn rates spike. A recent Snowflake case study showed that 40% of storage in a large enterprise came from inactive data objects. That’s not innovation — that’s waste. At Anavsan, we built an AI-driven way to stop it. Our platform automatically scans your Snowflake environment, identifies idle tables, clones, and retention bloat — and helps you reclaim credits within weeks, not months. -- Pinpoint inactive storage -- Automate cleanup and governance using a secure workspace -- Reuse saved credits for new workloads Read the full blog: https://lnkd.in/eXUFNgkd Because in FinOps, every reclaimed credit fuels what really matters — growth, not waste. #FinOps #Snowflake #CloudOptimization #DataEngineering #Anavsan #CloudCostOptimization

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If you have the problem that your data is not in the right format to be handled properly by AI then you're looking for an ETL solution. ETL stands for Extract, Transform, Load, a fundamental data integration process used to gather data from various sources, convert it into a consistent, usable format, and then store it in a target system like a data warehouse. This process cleans, organizes, and consolidates data, making it ready for analysis, business intelligence, and decision-making in data-driven organizations. Sharing this because "data cleaning" is a comparatively low volume google search keyword and is a broad term.

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This foundational checklist from Augusto Rosa’s Snowflake Architecture Series is a must-read. Whether you're new to Snowflake or scaling your cloud data platform, this checklist breaks down the essential building blocks—like identity and access, cost governance, and data modeling—that every data team needs to get right. Set yourself up for long-term success with Snowflake—this is the perfect place to begin. https://lnkd.in/eYP8jZ2s

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