Snowflake Developers

Unifying logging across ingestion technologies with Hybrid Tables. Project Lead The Way (PLTW) is a non-profit organization that provides teacher-empowered STEM curriculum for PreK-12 schools across the US, aiming to make every student in every grade STEM successful. While logging capabilities are available in any individual ETL software, the concern is how to unify logging across all ETL software. This problem is one that data engineers at Project Lead The Way (PLTW) have recently solved with the help of Snowflake Hybrid Tables. Learn all about: - PLTW and internal data architecture - Why Hybrid Tables were chosen for ETL logging - How Hybrid Tables can unify logging across data ingestion technologies https://lnkd.in/gfJPVaTb

🤝 Cortex Analyst and Cortex Search: Better together to tackle real-world challenges in text-to-SQL. With our latest integration with Cortex Search now in Public Preview, Cortex Analyst can leverage the Cortex Search service created on high-cardinality or dynamic dimensions for precise, low-latency “fuzzy” searches. This integration is designed to boost SQL accuracy, helping business users get reliable answers in seconds. Learn more about how the Cortex Search integration elevates Cortex Analyst’s capabilities: https://okt.to/Dote4Z

📚 We recently announced the general availability of Snowflake Notebooks, and now we’re here to help you get started. Whether you're a data analyst, data engineer, or data scientist, Snowflake Notebooks provide everything you need to simplify complex tasks and keep your focus on building great things. Our latest guide with Daniel Myers will walk you through: 1️⃣ How to set up your account and grant permissions using Snowflake’s role-based access control. 2️⃣ Tips for managing compute resources to optimize costs and keep your work efficient Get started with Snowflake Notebooks today: https://lnkd.in/gZVxaH5Q

Cortex Analyst just leveled up with multi-turn conversation support in Public Preview! Now, business users can ask follow-up questions and dive even deeper into their data, making analytics feel as natural as a conversation. Imagine asking, “What’s the month-over-month revenue growth for 2021 in Asia?” and then simply following up with, “What about North America?” Cortex Analyst understands the context and delivers precise answers with remarkable efficiency. Learn how we’re pushing the boundaries of conversational analytics and making Cortex Analyst your go-to AI colleague for data insights: https://okt.to/Gtzpex

Overcoming locking challenges with Snowflake Hybrid Tables at Pie Insurance Discover how Pie Insurance solved critical data latency and locking issues by adopting Snowflake’s Hybrid Tables. By enabling fast, single-row reads and writes, this solution eliminated table locks in Pie’s CTL_PIPELINE_AUDIT, reducing data pipeline errors and saving valuable engineering resources. Hybrid Tables proved essential in supporting Pie’s high-demand, data-driven insights for better business decisions. Learn more about the journey and implementation: https://okt.to/XsVNod

Exciting news! Cortex Analyst now supports joins for Star and Snowflake schemas, empowering business users to generate insights from complex, multi-table data with ease. With a remarkable 92% SQL accuracy, Cortex Analyst surpasses other solutions, ensuring reliable answers for intricate queries. 🌟 Supporting joins in a text-to-SQL system is far from as simple as just joining two tables. It requires thoughtful handling of join paths, join types, disambiguation, aggregation, and distinctness, along with careful parsing to generate SQL that accurately reflects the user’s question. Learn more about our approach to solving these challenges while maintaining high accuracy: https://okt.to/VNhGXZ

Creating a heat map in Snowflake Notebooks with Streamlit to analyze warehouse utilization. Follow along as Chanin Nantasenamat, PhD, walks you through the process of building a Snowflake Notebook that generates a heat map of warehouse usage patterns to identify peak hours that can help with cost optimization. Herein, we're leveraging the synergistic power of SQL and Python. Tech stack - Snowflake Notebook - Python libraries: Streamlit (frontend UI), Pandas (data wrangling), Altair (data visualization) 📺 Watch the Tutorial: https://okt.to/ImGX8V 📓 Demo Notebook: https://okt.to/tEbyO0

Unlock the full power of enterprise data with AI agents in Snowflake Intelligence. Snowflake Intelligence enables business users to analyze, summarize, and act on structured & unstructured data through a unified conversational interface—no coding required. Connect seamlessly to enterprise data like sales transactions, SharePoint, Jira, and Google Workspace, and drive insights and actions in natural language. Learn more from #SnowflakeBUILD: https://lnkd.in/gCbpu676

We showcased how easy it is to build and deploy GPU-powered ML workflows with any OSS package at #SnowflakeBUILD. Learn more from Dash DesAI as he demos how to speed up training for an XGBoost model with GPUs using Snowflake Notebooks on Container Runtime. Try it for yourself now: https://okt.to/sN4YAG