Dan Gillis

Introducing Snowpark Connect for Apache Spark™, now in Public Preview. Building on the decoupled architecture of Spark Connect, Snowpark Connect allows you to run all your compatible Spark SQL, DataFrame, and UDF code directly on the Snowflake platform. This means you get the best of both worlds: the power of Snowflake's vectorized engine combined with the familiarity of your existing Spark code. Experience faster performance and cost savings compared to managed Spark, as Snowflake automatically handles all performance tuning and scaling. This frees your developers from operational overhead and establishes robust, unified governance upstream. Plus, it works seamlessly with Apache Iceberg tables for your open lakehouse initiatives. Accelerate development, lower costs, and simplify your data pipelines: https://lnkd.in/gXtgdr8k

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Snowflake VP of Product Management, Christopher Child, and Box CTO, Ben Kus, lay out the prerequisite for real AI impact: unify your data and enforce governance before you bring models to the table. They contrast Snowflake’s strength in structured and semi-structured data with the high‑value unstructured content inside Box – documents, images, video – now unlockable thanks to generative AI, but only if you break down fragmented storage, modernize legacy systems, and apply clear policies. Their takeaway is clear: make data broadly accessible, apply strong governance, security, and policy controls, and ensure everyone knows what data is approved for AI– setting up Box + Snowflake as a complementary foundation for safe, scalable AI. Ready to bring AI to the enterprise the right way? Watch the full video here: https://lnkd.in/g4Yp7qxs

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BlueCloud helped a leading retail distributor replace its outdated system with a multi-tenant ThoughtSpot platform on Snowflake, cutting reporting time from hours to minutes. ⏩ Business users now have real-time, self-service access to data, reducing IT dependency and enabling faster, smarter decisions. The result? The scalable solution lays a future-ready foundation for analytics across all business units. 👉 Read the full story: https://lnkd.in/eKPjifPb

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Semantic Models are all the rage, and have been for over a decade. With Databricks' push around AI/BI, a semantic model is a vital part of the puzzle to be taken seriously in analytics. That's exactly what Unity Catalog Metric Views are - semantic models that live inside Unity Catalog within Databricks rather than downstream BI Tools... pretty nifty! In this video Simon quickly recaps how semantic models have evolved and how to think about them, before taking a quick look at what a sample metric view, as well as it's use in AI/BI Dashboards and Genie Spaces. We'll dive into the development process, complex scenarios and more in future videos! https://hubs.la/Q03K4vdn0 #DataEngineering #AnalyticsEngineering #Databricks #UnityCatalog #SemanticModels #DataModelling #DataLakehouse

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When Databricks wanted to modernize and automate its own internal reporting with AI/BI, they turned to a partner they could trust - Lovelytics. As an Elite Databricks Partner, we had the privilege of collaborating directly with Databricks to migrate their internal reporting workflows, paving the way for AI-powered business intelligence across the organization. Our work included: > Migrating critical internal dashboards to AI/BI with Databricks SQL and Lakehouse architecture. > Automating reporting processes that were previously manual and time-consuming. > Enabling real-time insights for Databricks teams to make faster, data-driven decisions. Read the full story, written by Joely Friedman and Justin Evans, to see how we partnered with Databricks to automate internal reporting, achieving annual savings and delivering faster insights: https://lnkd.in/eDdDqv_z

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Databricks isn’t the problem. The missing orchestration layer is. Even with millions invested, too many teams end up with: 😱 Endless engineering backlogs 😱 Fragile, inconsistent pipelines 😱 Stakeholders shut out of the process The result? Zero trust. Zero impact. In our free whitepaper, we break down the 5-step action plan to turn Databricks into real business value. Link in the comments ⬇️

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❄️ Tackling Snowflake Waste "Anyone who has ever tried to clean up infrastructure has run into two main challenges: -Identifying resources that are truly unused -Figuring out who is actually responsible for those resources Snowflake does provide dashboards that allow you to spot major consumption trends. Unfortunately, this is not enough to drive action: you need much more granular metrics." 📖 Read the full article by Jonathan Hervault, Technical architect here: https://lnkd.in/gzEDTQUi #SoftwareDriven #MichelinTechnology #Data #Snowflake

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Data and AI are one of Kentro’s core capabilities with a focus on transforming data into a mission-critical driver of decisions with AI/ML-enabled enterprise data management solutions. Our Databricks partnership is a key enabler of those capabilities and service offerings, streamlining the process of working with big data, from prep and analysis to machine learning and AI applications. Our Databricks partnership team has implemented an internal Databricks AWS platform built with ELT paradigm. This is a working prototype using publicly available data built to enhance our speed and efficiency in developing customer demos and delivering Databricks expertise to address customer requirements. We’re excited about how the Databricks partnership can elevate Kentro’s data-driven projects and help our customers delve into the art of the possible. #Kentro #AtTheCoreofMore #StayCentered #GrowthMindset #Databricks #TechPartnership #ArtofthePossible

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Snowflake and Hakkoda agree: AI works best when you run it where your data lives. In our latest blog, we dive into how Snowflake Intelligence, powered by Cortex AISQL functionality, is helping organizations shorten time-to-insight and drive real business outcomes. Read the full piece here: https://lnkd.in/g5WeZSM8 #Snowflake #AI #DigitalTransformation #DataInnovation

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Reliable data drives confident decisions. But how do you ensure your data is always accurate, complete, and trustworthy?   Our latest blog “Data Observability in Snowflake: A Hands-On Technical Guide” walks through practical ways to monitor data quality, detect anomalies, and maintain reliability at scale using Snowflake.   📖 Read the full article here: https://lnkd.in/d5HuNN9t #Inferenz #DataObservability #Snowflake #DataQuality #DataReliability #DataEngineering #ArtificialIntelligence #AgenticAI Yash Thakkar | Gayatri Akhani | Adarsh Adwait | Jalindar Karande | Richa Gupta | Akshay Vala

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Enterprise AI just leveled up.   Databricks + OpenAI have teamed up to bring GPT-5 and other OpenAI models natively into the Databricks platform, with full governance, security, and observability built in. That means: ✅ No more messy integrations ✅ AI running directly on your enterprise data ✅ Enterprise-grade guardrails from Unity Catalog   This is a turning point for how organizations move from AI pilots to real business impact.   At Infinitive, we help enterprises put these capabilities into action, from secure data foundations to AI that drive measurable ROI. Let’s talk about how we can help your organization unlock the value of this new partnership. https://lnkd.in/g8NNrKXw

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🤔Want to know what REALLY makes data projects succeed? ✋First step - stop treating data scientists like they’re magicians! In the latest episode of Bringing Data and AI To Life, host and Worldwide VP and Field CTO at Informatica, Nick Dobbins welcomes bestselling author of "Fundamentals of Data Engineering", Joe Reis for a REAL look at the data ecosystem of today. Together, they discuss: → Why the "boring stuff" is actually your secret weapon → How philosophy and arts are becoming crucial in tech → The unexpected connection between active listening and AI success We’re experiencing an industry reset and it may not feel like it, but it truly is the most exciting time to be in tech! 🎧Tune into this insightful episode now: Apple Podcasts: https://bit.ly/42z9mJ9 Spotify: https://bit.ly/4n9Yfi0 YouTube: https://bit.ly/4nfqxYA #DataManagement #DataEngineering #DataScience #Leadership #Innovation

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Snowflake’s ability to handle diverse data workloads makes it a stronger choice over BigQuery for complex data environments. Our latest whitepaper provides an in-depth comparison of these leading data cloud platforms, exploring crucial factors such as pricing models, performance, scalability, and multi-cloud flexibility. Download the whitepaper to make an informed decision: https://lnkd.in/gQsnmMq2 #BigQuery #Snowflake #CloudData #DataMigration #Kasmo

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Announcement! Lightcast labor market data is now available directly in the Databricks Marketplace; offering even more seamless access to critical labor market intelligence. This integration simplifies access for thousands of Databricks users—bringing job postings, workforce profiles, compensation data, and much more into their existing analytics and AI workflows. https://lnkd.in/e2taebPq From predictive models to business intelligence dashboards, Lightcast insights now plug in faster than ever—turning months of integration into minutes. With free trials and a smoother procurement process, exploring the world’s leading labor market data has never been easier. Start with Lightcast, now on Databricks.

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