David L. Perdue

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

10

1 Comment

The Models page displays the models that you’ve created and logged into the Snowflake Model Registry or have access to the models via the USAGE or READ privilege. These are both models that have been developed with Snowpark ML and externally sourced models (such as models from Hugging Face). It also shows Cortex Fine-tuned models, and may include other model types that you can create in Snowflake in future releases.

2

⚡️ Snowpark customers are seeing faster performance compared to Spark solutions. ⚡️ It comes down to reliable data pipelines – and translates into significant cost savings. See how customers like Chicago Trading Company and many others are seeing performance and savings over Spark: https://lnkd.in/eRMEJnJf

93

5 Comments

"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.

3

Every data story has a journey, but too often, we lose track of it in the noise of pipelines, dashboards, and ETL logs. In this post, Sanyam Shah breaks down how to map end-to-end Data Lineage in Snowflake, turning metadata into visibility, compliance, and trust. If your goal is to make your data traceable, auditable, and AI-ready, this is a must-read. 👉 https://lnkd.in/gspE7Qs3 #BOTConsulting #DataLineage #Snowflake #DataGovernance #DataEngineering

26

The retirement planning industry has lived with operational friction for decades. Flat files. Manual reconciliations. Delayed data. That era is ending. The SPARK Institute API Integration Guidelines are more than technical recommendations. They set a new standard for how retirement data moves, securely, accurately, and in real time. With insights from Joseph Burt, Chair of SPARK’s Technology and API Committee, this article explains why APIs are the foundation for scalable operations, stronger security, and a connected retirement ecosystem. Read how the future is being built, not discussed.

7