Snowflake Developers

Ready to migrate Apache Spark pipelines to Snowpark? Join Brandon Carver, product manager for SMA, with Vino Duraisamy for this live session on the Snowpark Migration Accelerator, the essential tool for a fast and reliable transition. In this deep dive, you'll go beyond the basics to learn about the accelerator's specific features for automated code conversion and analysis. We'll give you a quick look through an end-to-end quickstart, demonstrating a seamless migration from start to finish. Finally, you’ll see how to effectively test and validate your newly migrated data pipeline to ensure it’s production-ready. Don't miss this opportunity to see the accelerator in action and get your questions answered live. Vino Duraisamy Brandon Carver

Democratize data access with AI! Snowflake Intelligence empowers users with powerful AI capabilities for self-service analytics. This solution enables business users to securely converse with all their structured and unstructured data, without needing SQL or dashboards. Data Agents, powered by Cortex AI, manage these interactions to deliver accurate insights and transform complex analysis, connecting various user roles to unified data sources with Snowflake's RBAC security core. Explore Snowflake Intelligence today: https://lnkd.in/gukaq9YR

Accelerate your journey to an open lakehouse architecture. Many organizations using Delta Lake are shifting to Apache Iceberg for its unparalleled flexibility and performance. Snowflake's Delta Direct simplifies this crucial transition. It enables you to convert Delta Lake tables to Iceberg in-place using only familiar SQL commands. This metadata-driven approach automatically generates Iceberg metadata from your Delta Lake transaction log without rewriting data files or requiring external compute. Unlock true vendor neutrality, seamless interoperability, and unified governance for your open data lakehouse: https://lnkd.in/gesqxPdh

Inconsistent insights plague AI-powered BI. Snowflake semantic views bridge this critical gap by storing your semantic model natively in the database. This creates a shared interface for AI, BI, and SQL analytics with consistent, accurate answers. Developers can now query semantic views directly with SQL, simplifying complex logic. This improves AI accuracy, reduces hallucinations, and significantly increases user trust. Partners like Sigma, Hex, Omni, and RelationalAI are already integrating. Get started with Snowflake semantic views today: https://lnkd.in/gv3m89Sc

Reimagine data analysis with AI! 💡 Cortex AISQL brings powerful AI capabilities directly into Snowflake’s SQL engine. This solution reimagines SQL into an AI query language for multimodal data, enabling users to build scalable AI pipelines across text, images, and audio using familiar SQL commands. It democratizes AI-powered analytics by bridging the divide between structured and unstructured data analysis, eliminating the need for separate tools and specialized skills. Learn more about Cortex AISQL: https://lnkd.in/gaHEsmDX

We’re accelerating the development of agentic applications with open-source resources that simplify the creation of MCP servers connected to Snowflake services. Built on the MCP, open-sourced by Anthropic, these servers provide a consistent and secure mechanism for AI agents to interact with enterprise data. With minimal setup, you can give your agents access to Cortex Analyst and Cortex Search. Check out the following resources to learn more. Quickstart Guide: https://lnkd.in/g5ygnPma  GitHub Repo: https://lnkd.in/gzhHMgpp

Join us to explore how AI Observability in Snowflake Cortex AI empowers AI engineers and developers to easily evaluate and trace their GenAI apps. You'll discover how to measure performance with robust evaluations, experiment with configurations to boost application performance, and easily debug issues with end-to-end tracing. Don’t miss this opportunity to learn how to make your AI applications accurate, trustworthy, and transparent.

Protecting sensitive data in the AI era is critical, with breach costs hitting nearly $5M in 2024. Join our virtual hands-on lab, "Best Practices for Protecting Sensitive Information in AI Models, Apps, and Data Clouds," on July 15. Learn to automatically classify, monitor, and safeguard sensitive data, protect it during model training and use, and stay compliant with AI threat detection advancements. Register now: https://lnkd.in/giHW2UDw

Build and deploy a complete machine learning workflow entirely within Snowflake ML! Our new solution guide walks you through an end-to-end ML lifecycle. You'll learn to define and manage features with Snowflake Feature Store, train and optimize models using Snowflake ML APIs for hyperparameter optimization, manage versioning and lifecycle with Snowflake Model Registry, and track performance and drift with integrated ML Observability. This guide demonstrates how to build, deploy, serve, and monitor models in production with seamlessly integrated MLOps features, all on Snowflake. Explore the solution and streamline your ML workflows: https://lnkd.in/g92t2Qcq

Tired of complex workflows to move data from Dropbox to Snowflake? With Openflow, you can set up a secure, scalable pipeline in just a few clicks, no heavy coding required. Learn how in #DataSuperhero Maja Ferle's blog: https://lnkd.in/gic3fCTK