Ed Bernier

Attention Snowflake users ! Wouldn't it be great if every time anything anomalous happened in your infrastructure it got flagged? Well in Orchestra that's pretty easy to set-up. Check it out below! https://lnkd.in/eP8bj6MU #dataengineering #anomalydetection #snowflake

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Join PyTorch at Snowflake's #DataCloudDevDay on June 6 in San Francisco to learn how to accelerate GenAI performance with Native PyTorch. Register: https://hubs.la/Q02xQStt0

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🔍 Just stumbled upon an interesting article! Snowflake Cortex LLM functions are now generally available, offering powerful machine learning capabilities within Snowflake. Dive in: https://lnkd.in/gehtvatQ #Snowflake #MachineLearning #TechNews

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Did you miss this awesome demo Hugo Lu did with Youssef Mrini over at Databricks 🏘 In Orchestra you can trigger and monitor Databricks Workbooks, Workflows, data quality tests, and lots more. Our users also leverage Orchestra's overarching monitoring and alerting capabilities to link upstream jobs like data ingestion (e.g. ADF) through Databricks into downstream jobs like Reverse ELT with Hightouch or Power BI dataset refreshes. Check it out here 🔗 https://lnkd.in/dU2grpum #dataengineering #databricks

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Snowflake Notebooks now provides distributed processing with CPU and GPU options using any Python package of choice through the Container Runtime. This makes resource-intensive ML use cases, such as deep learning, simpler and more accessible than ever before with just the click of a button – no manual setup or maintenance required. Join us for an AMA session with Snowflake AI experts and they will answer your questions live and discuss GPU-enabled Notebooks 📒

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🚨 Is your data engineering workflow holding you back? 🚨 MotherDuck and Dagster Labs are teaming up to discuss the secrets of modern data engineering. We'll cover: - Crafting an end-to-end data platform with Bluesky data, MotherDuck, and Dagster - Proactively solving problems with "shift-left" testing to catch issues early - Practical automation strategies to streamline your workflow and boost productivity 📅 January 14th ⏰ 9:00 AM PT ☑️ Registration link in the comments

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Now on Databricks Runtime 14.3: the State Reader API, a new capability that allows users to access and analyze Structured Streaming's internal state data. Discover how this new capability is providing much-needed transparency, accessibility, and ease of use: https://dbricks.co/3UeoF6l

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🔍 Can a single platform change the way enterprises handle data and AI? 💡 Snowflake is making waves with Cortex AI, multimodal LLMs, and Hybrid Tables. 🚀 What’s behind the multimodal insights powering these new AI tools?  And how do they tackle unstructured data with seamless governance? 🔒 Plus, did someone say leaked password alerts for enterprise safety? 😱 🌐 Dive into how these innovations are rewriting the rules of secure, real-time analytics. ⏳ Are we entering the next era of decision-making with AI at its core? 👉 Tap the link to uncover how Snowflake is setting the new standard for enterprise AI. https://lnkd.in/deUcNMW8 GigaNectar #AI #DataManagement #Snowflake #EnterpriseTech #TechUpdates

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✨ Master AI in Snowflake: Enhance Your DBT Workflow ✨ Our Senior Data Engineer, Jaime Andres Salas, guides you in integrating LLMs with Snowflake Cortex into your DBT transformations. Key points: 🔹 Sentiment analysis with AI 🔹 Join sentiment data with reviews 🔹 Create recommendations for feedback https://hubs.ly/Q02BX1sW0 👉 Read the full article #AI #Snowflake #DBT #DataScience #LLM

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🔐 Understanding Encryption Key Hierarchy in Snowflake 🔑 Ever wondered how Key Hierarchy works to secure your data in Snowflake? 🌐 Snowflake uses a powerful multi-layer encryption architecture to ensure your data remains secure at every level. To learn how the Key Hierarchy operates and gain a clear understanding, check out this video 📽️: 👉 https://lnkd.in/gnsCM5Uc This video simplifies the concept and explains the hierarchy in detail. Don't miss it! 🚀 For more such content Follow Enqurious (formerly Mentorskool) Enqurious Academy Subscribe to https://lnkd.in/g9M_ZZDV #Snowflake #DataSecurity #Encryption #CloudData #KeyHierarchy

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AI significantly impacts today's data, and Snowflake has introduced Arctic, its advanced AI model. In Justin Delisi's blog, he highlights Arctic's key features: Cortex integration, optimized performance for SQL, and much more, including top use cases! Check out this awesome blog and learn more about improving your data workflows with Arctic today! 👇 https://lnkd.in/gkTDNKEJ

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Ready to improve forecasting by 20%? Quickly connect Snowflake’s new #Cortex Forecasting to PredictHQ’s Beam API and Features API to reduce mean absolute percentage error (MAPE) by 20%. Plus, get ready for even deeper explainability with our Events API coming soon to Cortex. Watch the demo where PredictHQ Chief Data Officer Dr. Xuxu Wang shows you how it works 👇 https://lnkd.in/ekR_xWZq #demandforecasting #predictiveAI

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🚀 KAWA Analytics is the easiest way to build enterprise-grade data apps on Snowflake From risk management to dynamic pricing, ESG to market abuse surveillance, KAWA AI Co-builder makes it effortless. 🎥 Watch our product manager Narjisse Bouri demonstrate how to build a market abuse monitoring system in no time.

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Have you tried running the DBRX models from Databricks? In our latest blog post we provide a tutorial to get you started with the model on Ori’s public cloud. We were very impressed with DBRX’s performance on the Hugging Face Open LLM Leaderboard before the updates last week. While DBRX Instruct did not score as highly under the new scoring system, it's still one of the best open models for Language Understanding (MMLU), Programming (HumanEval), and Math (GSM8K). We also used BeFOri, the benchmarking framework from Ori to determine DBRX Base performs inference most efficiently between 40 and 256 concurrent requests on one of Ori's 8 x H100 PCIe bare metal servers. Check out the blog to learn how you can use BeFOri to optimise self-hosted LLM performance on any infrastructure! https://lnkd.in/gi55WEks

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Follow along John Chun Hong Leung's new tutorial to learn how you can ingest, extract, and visualize time-series data by using PySpark on Databricks (implementation code included).

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Why wait for slow queries when you can speed things up? On the Apache Arrow blog, Ian Cook, David Li, and Matt Topol, break down how Arrow's format accelerates query result transfers by eliminating inefficiencies. Key takeaways: ✅ Columnar format reduces costly transpositions ✅ Zero-copy architecture minimizes overhead ✅ Universal language support ensures seamless integration across platforms Read the full post to learn how Arrow boosts query performance and discover real-world speedups from tools like Theseus, DuckDB, and Snowflake. 🔗 Read more: https://lnkd.in/eBbjz5uZ #DataAnalytics #ApacheArrow #BigData #OpenSource

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