Dat Daryl Ngo

Meet Llama 3.2 on Databricks: faster and now multi-modal. The Llama 3.2 release pushes the frontier of enterprise #GenAI with new smaller models for latency + cost-sensitive use cases and larger multimodal models for visual understanding. Customers can easily get started tuning the Llama 3.2 models securely and efficiently on their data. Available today in Databricks Mosaic AI. 

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How does an organization benefit from Strategic Data Modeling? 💥 Consensus and visibility of the broader business model 💥More productive conversations with business teams 💥Better quality of requirements 💥Higher signal, lower noise in technical conversations 💥Cross-platform, cross-domain, and widely understood conventions 💥Big-picture visual overview of the business and its database footprint 💥Preliminary designs become implementation blueprints 💥Accelerating onboarding of new team members 💥Making data more accessible and unlocking self-service within organizations 💥Keeping the database landscape manageable at scale 💥Getting a handle on complex data pipelines Check out Serge Gershkovich's book, 𝐷𝑎𝑡𝑎 𝑀𝑜𝑑𝑒𝑙𝑖𝑛𝑔 𝑤𝑖𝑡ℎ 𝑆𝑛𝑜𝑤𝑓𝑙𝑎𝑘𝑒, to learn more! #DataModeling #SqlDBM #Cloud #Snowflake https://lnkd.in/gsQsJ_yb

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108 Recipies Snowflake Build: Just moments ago (Nov 12th, 12:30 PM CST), SF presented the Snowflake Dynamic Iceberg table using Polaris External CatalogSync." We have 20+ recipes in this e-book. Below is how to build summary tables as new data streaming into the base table. Snowflake

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The Wave: Axoni’s Greg Schvey on the Industry’s ‘Bad Data Problem’ In this edition of the Market Structure Wave video series, Axoni's CEO Greg Schvey discusses data accuracy, delving into the bad data problem that exists at Wall Street firms that is needlessly costing them billions of dollars each year. In this interview, conducted by TabbFORUM Editorial Director Michael Scotti, Mr. Schvey discusses scenarios, whether trading opportunities or risk management, where firms are impacted by inaccurate data. He also talks about what's new at Axoni. Greg S. #marketdata #referencedata #posttrade #bigbanks #derivatives #goldencopy https://lnkd.in/d2zJrF3d

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The Wave: Axoni’s Greg Schvey on the Industry’s ‘Bad Data Problem’ In this edition of the Market Structure Wave video series, Axoni's CEO Greg Schvey discusses data accuracy, delving into the bad data problem that exists at Wall Street firms that is needlessly costing them billions of dollars each year. In this interview, conducted by TabbFORUM Editorial Director Michael Scotti, Mr. Schvey discusses scenarios, whether trading opportunities or risk management, where firms are impacted by inaccurate data. He also talks about what's new at Axoni. Greg S. #marketdata #referencedata #posttrade #bigbanks #derivatives #goldencopy https://lnkd.in/d2zJrF3d

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Welcome Howso, a new #validated partner of Databricks! I've been posting about many synthetic data partners in the last few weeks, but Howso is different. Howso’s main differentiator is its focus on #AI_explainability. In industries where trust and compliance are critical (like finance, healthcare, and government), being able to explain how an AI model makes decisions is extremely valuable. In addition, Howso is also focused on #Causal_AI. This helps organizations uncover cause-and-effect relationships, not just correlations, which improves decision-making in complex environments. They uncover the truth about your data. Incredibly happy to have Howso, "The Understandable AI® Platform" as part of the Databricks AI partner ecosystem! Read more here: https://lnkd.in/e-SacuJH John Emmert

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🚀 Unlock the Power of Accurate Forecasting! 📊 We're excited to share our latest blog post: "Snowflake - Forecasting App Performance Metrics"! Dive into an in-depth comparison of our Time Series Forecaster App against Snowflake Cortex, showcasing impressive performance metrics and features. 🔍 Key Highlights: 🌟 Trial Version Performance: How our basic model outperforms Snowflake Cortex. 🌟 Comprehensive Features: What sets our full version apart with advanced models and customizations. 🌟 Detailed Metrics: Performance metrics and comparisons using public datasets. Read the full post 👉 https://lnkd.in/gn7vZK8y Follow brillersys for more updates and insights on data science and analytics. For inquiries or support, contact us at info@brillersys.com #TimeSeriesForecasting #SnowflakeMarketplace #DataScience #MachineLearning #Forecasting #Analytics #PerformanceMetrics #TechInnovation

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💡 Did you know Databricks integrates with DeltaStream? This powerful combination allows users to process data from streaming sources and write the results directly to Delta Lake. By leveraging DeltaStream, you can continuously process streaming data, ensuring Delta Tables are always up-to-date and data is never delayed. https://lnkd.in/gpymyw_5 #DataEngineering #StreamingData #DeltaLake

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Simple #tutorial for working with Snowflake managed service for Apache Polaris (Incubating) catalog with #pyiceberg APIs to process #data in Python, in Apache Iceberg tables.

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Looking to activate your data and analytics for closed-loop operations? Discover how Palantir Foundry, the ontology-powered operating system for the modern enterprise, seamlessly connects data, models, and decisions: https://hubs.ly/Q02VM5fF0 PVM's Palantir Foundry services include: - Set up - Data connection and pipeline building - Ontology and app development - Use case enablement - Use case support - AI/ML and OPT #Palantir #Foundry #DigitalServices Palantir Technologies

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Materialized Views and Streaming Tables are now Generally Available in Databricks SQL! 🥳 In our internal benchmarks, Materialized Views delivered ~7x better data freshness at 1/50th of the cost of a similar CREATE TABLE AS statement. 👀 Read more here!

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Want to learn more about how to get started using Snowflake Cortex LLM Functions? Check out this post from Jon Coulter detailing how to use these tools to quickly classify data, empowering Data Engineers with Data Science tools! https://lnkd.in/gMTFT5xQ

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KL Databricks How to Series: Create and Configure Databricks Clusters    In this quick demo, we guide you through the essential steps to set up and configure Databricks clusters. From workspace access to optimizing runtime performance and selecting the right node types, this tutorial simplifies the process. Whether you're new to Databricks or refining your existing setup, this video will enhance your workflow and improve performance. Watch now and streamline your data processing with Databricks! For any inquiries, contact us at contact@kadellabs.com    Recommended: How to set up and optimize Databricks workspace: https://lnkd.in/e6FkSZtC   #CloudComputing #Databricks #DataAnalytics #TechInnovation #DigitalTransformation #BigData #AI #CloudSolutions #DataEngineering #BusinessTransformation #FutureOfWork #TechTips #DataProcessing   Kadel Labs

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We're ready for Snowflake Dev Day! Two of our favorite authors, Matt Topol (In-Memory Analytics with Apache Arrow) and Chip Huyen (Designing Machine Learning Systems) will be at our booth to talk about data, AI, and making GPUs go brrrrrrrr Come by for book giveaways, T-shirts, cloud putty (great exercise for your fingers), and of course, fun conversations! #snowflakesummit #dataengineering

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❄️🔥 Snowflake is, ironically, a hot topic. (Also a cool one.) 🏎️ Onehouse makes it way faster and much less expensive to use Snowflake. 🌃 And Onehouse, with Apache XTable (Incubating), opens up access to ALL data lakehouse formats: Apache Hudi, Apache Iceberg, and Delta Lake. ⏱️ Today - ahora mismo, as they say in Spanish - not off in the future. ✍️ To find out how, sign up for our webinar this Thursday. See you there! https://lnkd.in/gJEExsyJ #onehouse #dataengineering #nolockin #universaldatalakehouse #apachextable #opensource 

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