Ashutosh Dubey

Big shoutout to our team member Roshni Mishra for publishing an article on Reverse ETL (RETL) using native Snowflake features! In her first Medium post, Roshni walks through how to flip the traditional ETL process by sending insights back into operational systems like sales and marketing apps, closing the loop between analytics and execution. What makes this powerful is that it’s all built natively on Snowflake: secure data sharing, dynamic tables, and Snowpark-powered pipelines that let you operationalize insights in real time without complex data movement or external tools. This is a great example of how teams across Snowflake are pushing the boundaries of what’s possible with data: from silos to solutions, and from insight to impact. Fantastic work, Roshni! Read her post here: https://lnkd.in/gt2_b4yG

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🔥 Just Dropped! 🔥 Imagine effortlessly extracting key insights from Salesforce case escalation data — no manual scraping, no need for 100s of lines of code. Sounds like magic? In our latest #AIonDatabricks blog, we break down how to automate customer support insights using LakeFlow ingestion + LLM batch inference—a game-changer for AI-powered workflows. 🔗 Read it now: https://lnkd.in/gyA_H4Zz #AI #MachineLearning #Databricks #Lakeflow #LLMs #CustomerSupport

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𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐒𝐩𝐞𝐧𝐝 Having managed multiple Databricks platforms in the past for various fortune 500, I have personally seen teams struggle with growing Databricks platform costs—often unknowingly driven by idle clusters, redundant storage, inefficient queries, underutilized jobs etc. At Anblicks, we’ve built over 50 diagnostic scripts that uncover exactly where the inefficiencies lie—across storage, compute, and DBUs These are practical tools designed to offer clear, actionable insights to help teams spend less without changing how they work. If you're working on FinOps or platform optimization and want to explore this, happy to share more. https://lnkd.in/gBf68s8E #Databricks #FinOps #CostOptimization #DataPlatform #Anblicks

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The secret is out! Confluent and Databricks are bridging the data divide and partnering up to unlock real-time AI. Check out Confluent CEO Jay Kreps and Databricks CEO Ali Ghodsi’s joint blog to learn how Tableflow, Delta Tables, and Unity Catalog will connect operational and analytical systems to power AI-driven applications. https://lnkd.in/gfAJF4mN

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It's always energizing to see world-class engineers move fast and deliver impactful features—all while maintaining a high quality bar. Here are some recent Snowflake launches that I find especially exciting: ⚡ Adaptive Scan for Apache Iceberg Apache #Iceberg queries just got a major boost with the launch of Adaptive Scan. This feature dynamically adjusts I/O and memory in real time, delivering up to 70% faster execution and 30% better memory efficiency. More details here: https://lnkd.in/g6nzAZie 🧵 Asynchronous Execution in SQL Stored Procedures A highly requested capability — now generally available. Async execution in SQL stored procedures simplifies development and uses the power of parallel processing to deliver up to 5x faster performance. More details here: https://lnkd.in/g54JhsvW 🚀 SnowConvert GA for Synapse & Redshift In addition to Teradata, SQL Server, and Oracle, #SnowConvert now also supports migrations from Azure #Synapse and #Redshift. This helps customers accelerate their move to Snowflake and unlock value faster. More details here: https://lnkd.in/gNVuBYmq Great job Muthunagappan Muthuraman Prateek Gaur Sandeep Seethaapathy Yogitha Chilukuri Mengran Wang Dmitry Lychagin Gaurav Yadav Diego Perez Arroyo Fernando Cardoce Castelnau Kuo Lun Lo Olman Garcia Federico Zoufaly and everyone else who made this happen!

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Nice interview with Karthik Raman Some of the lines I liked, compiled with help from NoteGPT 1. "Snowflake Cortex AI turns raw data into actionable intelligence without moving a single byte outside the platform." 2. "Low-code ML studios empower every data practitioner to become a model builder—no PhD required." 3. "Document AI is the silent hero turning unstructured chaos into structured clarity." 4. "Data agents are the unsung conductors behind seamless AI-powered data orchestration." 5. "Generative AI inside Snowflake means secure, governed, and highly performant AI applications at your fingertips." 6. "SQL is evolving—from manual queries to AI-assisted conversations with your data." 7. "The biggest productivity gain is time saved—not by faster queries, but by smarter AI assistance." 8. "Integrating multiple LLMs natively inside the data cloud unlocks experimentation without security trade-offs." 9. "Fine-tuning AI models is an iterative dance—data quality leads, and model accuracy follows." 10. "When AI helps write your SQL, data engineers can focus on solving business problems, not syntax errors." 11. "The power of Cortex AI lies in modular AI functions—from classification to summarization—ready to deploy." 12. "Continuous data injection pipelines with document AI ensure your insights stay fresh and relevant." https://lnkd.in/gpuVJySB

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