Steve Tetrault

📓 Quick Read: In this post, Jon Alkan provides an overview of 3 Snowflake performance features: (1) Search Optimization Service, (2) Query Acceleration Service, and (3) Cache.

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👀 Just a reminder for folks looking for a unified platform in the Microsoft data and AI tooling that automatically captures column level lineage at job and query runtime (including the columns used in an ML model to create a predicted value downstream!), Azure Databricks has you covered. 💪

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Migrating to the cloud is hard, but S Daniel Zafar can show you how to do it right with #databricks and Azure Data Factory. If you want to know what it looks like to pull this off with thousands of tables at TB scale, this is the article for you. https://lnkd.in/ePKhVknf

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👀 Just a reminder for folks looking for a unified platform in the Microsoft data and AI tooling that injects #GenAI into the background to automatically generate column and table descriptions for governed data, Azure Databricks has you covered. 💪

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The current state of AI and data is revealed: 94% of data leaders cite the lack of a defined data architecture and roadmap as a key challenge. Hear from 300 data leaders as they share modern data architecture and AI insights. #DataArchitecture #AI

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NEW BLOG - 💰The TCO of Photon in Databricks: Is it a No Brainer? 🚀 Do you enable Photon on all of your clusters? Is the only photon you know of a particle in an electromagnetic field? Does your CIO want to reduce cloud costs? Either way, this post is for you... Post in comments. #databricks #lakehouse #dataengineering

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A step further in delivering scalable, high-performance data solutions. For organizations looking to stay competitive, leveraging Databricks is no longer optional — it’s a necessity. #STRATEDGE #dataengineering #BusinessIntelligence #data

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Matillion Democratizes GenAI with No-Code Cortex Components on Snowflake AI Data Cloud https://lnkd.in/dvJ6mq5d #DataCloud #GenerativeAI #Matillion #NoCodeCortex #Snowflake

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Data Catalogs have Business Glossaries that are oriented to, well, business users. But maybe in the future non-human AI Agents will become equal "users" of our Business Glossaries. Read more at: https://lnkd.in/g5a_pd_9 #datacatalog #ai #businessglossary #llm #metadata

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I had the honor of attending Snowflake’s Data Cloud Summit and Databricks’ Data and AI Summit in June 2024. Although I wrote my blog on Snowflake Summit (link is in the comments) and am soon to publish my Databricks DAIS 24 blog, I am constantly being asked about my views on both these events. So, here is a compilation of everything I learned from these two events. In fact, I have also added my views on the recent OpenAI acquisition of Rockset. https://lnkd.in/gjx5pcsu I talk about mega trends and how both the companies are on a similar journey, but taking different approaches. We look at #lakehouse, #apachehudi #apacheiceberg, #deltalake, #agents, and developments in model training and tuning. Your feedback is invaluable, so please share your thoughts on the content. Let’s drive this conversation forward! #data #datamanagement #ai #ml #cloud  #multicloud  #moderndatastack  #cloudnative #opensource #llm  #datacatalog #AImodels #DAIS24 #DataAISummit #snowflakesummit #DataTransformation #GenAI

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Snowflake: Iceberg Dynamic Tables https://lnkd.in/gtCpgHgu

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Here is a condensed version of my Braindate by e180 sessions at Databricks Data + AI Summit NVIDIA Spark RAPIDS in Amazon Web Services (AWS) EMR provides 2x-5x acceleration and 30% cost savings for the 25% most GPU friendly queries NVIDIA Spark RAPIDS in Microsoft Azure Databricks provides 34% cost savings Use NVIDIA Spark RAPIDS qualification tool to predict the speedup up your workload Use Speedata.io Spark workload analyzer to predict the speedup of your workload Speedata.io delivers 20x-200x acceleration and 50x better performance/$ than CPUs and GPUs

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Bi-directional data access between Snowflake and Fabric offers an exciting partnership. I assume this brings enhanced interoperability, reduced complexity and costs, increased access to tools and applications, and improved data insights. Excited to hear of any Snowflake announcements at the Summit. #Snowflake

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Valuable perspectives on data transformation and strategy shared by Sameer Afsar, Soumit Roy, and Charlie Argento. If you're facing issues with data alignment, be sure to check out this webinar. Watch here: https://gag.gl/v2yOfJ #webinar #ondemandwebinar #datatransformation

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🚨 Breaking news: Créer vos rapports Power BI depuis Databricks Unity Catalog en quelques clics💡 #PowerBI #Databricks #Analytics"

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