Jeremy Silva

Check out our latest post on Clappy.ai, "Leverage Layout-Aware RAG for More Accurate Retrieval of Knowledge from Documents." Discover how to harness the power of Retrieval-Augmented Generation (RAG) for documents in PDF, Doc, and Markdown formats. Dive into the specifics of implementation and explore our reference repository to get started with advanced RAG for your knowledge base. Don't miss out on this essential read! Continue reading here for all the details: The Power of Hierarchical Indexing with RAG. (https://lnkd.in/gbiVHfcH)

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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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This new little product demo is awesome! Our new Rev AI Transcript Assistant will save you TONS of time. Easily pull out nuggets of info from your transcripts, making valuable content more accessible than ever. https://lnkd.in/gzzFpcDa #transcription #asr #accessibility #transcript #summarization #ai #assistant

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We've returned with a laidback conversation between Rob Ocel & Tracy Lee on implementing RAG with databases and large datasets in #AI + they talk about upcoming conferences and how to get the most value out of your ticket! Link in the comments!

You can't pWin them all...but you can plan for every pWin. Use Nue's interactive forecasting to easily reforecast pWin estimates up or down in line with changing conditions. https://lnkd.in/eFrKk-aQ

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📊 Drowning in data? Join us at Conf42 for "From Metrics Tsunami to Actionable Insights: Simplifying Database Troubleshooting." 🌐https://lnkd.in/e9cMYw8a Turn data chaos into clarity! 🌊🔧 #Conf42 #TechTalk #Database #Metrics #Troubleshooting #DataInsights #TechEvent #Innovation #DataAnalysis #SystemMonitoring #DevOps #DatabaseManagement #TechCommunity #DataScience #TechConference #TechLife #ITSolutions #PerformanceTuning #CloudDatabase #TechExperts #GeekAlert

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Ever felt like you're drowning in database metrics? It's time to shift from a "more data, more graphs" approach to something far more manageable. Join our Tech Evangelist Divine Odazie as he dives into simplifying database troubleshooting by transforming overwhelming data into actionable insights. Details: Topic: From Metrics Tsunami to Actionable Insights: Simplifying Database Troubleshooting @ conf42 Date & time: 13 June at 5 pm CEST Subscribe to watch it here>>> https://bit.ly/3VBShvb

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New feature release - Job metrics timeline view! Ever wonder why your Databricks job performance changes over time? You may ask yourself questions such as: “Why is my runtime increasing since last week?” “Is the cost of this job also increasing?” “Is the input data size changing?” “Is my job in danger of crashing?” Understanding why your job performance is changing is critical to both optimize costs and prevent crashes. In this post we show a new visualization timeline features to help engineers find root causes quickly. Try it out today with Gradient! #dataengineering https://lnkd.in/ebPjtU7y

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🎙️Today, we’re VERY excited to announce the relaunch of our podcast, now titled "The Data Flowcast: Mastering Airflow for Data Engineering & AI." This podcast is specially designed for the Apache Airflow community and aims to share invaluable insights, useful tips, and engaging discussions about the current and future trends of Airflow. Our first episode features a discussion with Alexander Booth , Director of R&D at Texas Rangers Baseball Club on how they orchestrated a World Series victory with Airflow 🚀 Listen on Spotify, Apple Podcasts, or watch on Youtube! Links in the comments below ⬇️ 🎧⭐️ PSA The best way to support the show is to leave us a 5 star review on your preferred platform— it takes less than 5 minutes but will impact this show for years to come. #ApacheAirflow #DataEngineering #Podcast #TechTalks #WorldSeries

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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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🚀 New Substack is online! Curious about the future of Data Engineering? 🤔 My latest Substack article dives into the burning question: Will AI Replace Data Engineers? Read the full post here: https://bit.ly/4chIQGU I break down the key phases of our work and explore where AI might fit in. From planning and design to implementation and operations, find out how AI could transform our roles. Join the discussion and share your thoughts! Do you see AI as a threat or an opportunity for Data Engineers? #DataEngineering #DataEngineer #AI

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What’s scarier than just about any campfire ghost story? 👻 Data quality issues that can turn into actual horror stories for your business. Few organizations would tell you data quality doesn’t matter. But what does it actually look like when vague processes and stakeholder miscommunication run amok in your data architecture? From countless hours frantically spent fixing organization-wide mistakes to millions in lost revenue, potentially catastrophic data quality issues are easier to miss than you might think. To put it into perspective, we’ve crowd-sourced five real-world data quality horror stories that will keep even the most seasoned engineers up at night. Enjoy a good scare—and learn how to avoid becoming the star of your own horror story—in our latest blog. Give it a read here: https://hubs.li/Q02vMkS-0

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Trying to predict sports playoff outcomes? Data science might be able to help! 🏀🏒 In our latest blog, learn how data science and analysis are involved in predicting game outcomes, and why it's often so unpredictable: https://lnkd.in/gg3ZS6NX

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Last week was a BIG week for industry news in the data and analytics space. Check out this roundup from Salvatore Salamone at RTInsights to get the latest scoop! 🗞️ https://lnkd.in/gZC3_fm3 #Data #Analytics #ApacheIceberg

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Ready to bring consistency to your metrics with the dbt Semantic Layer? Join one of our live, 2-hour interactive courses on Tuesday, April 30th at 12pm ET or Wednesday, May 1st at 1:30pm AEDT! Designed to improve your data project management, you'll gain a clear understanding of what the dbt Semantic Layer is, its purpose, and when to use it in your projects. Here's what you'll get by attending live:  ✅ Discover how to query the dbt Semantic Layer from Google Sheets and other BI tools, enhancing your analysis and data-sharing capabilities. 📈 Learn how to set up entities, dimensions, and measures in your semantic models and how to effectively configure and use metrics. 🤝 Get live support (because we've got your back) —ask questions, join discussions, and code along with us. Speakers include our resident dbt experts Faith Lierheimer, Alex Dinsmoor, Michelle Baird, and Joel Labes. Can't make it to the live event? No worries! Register anyway, and we'll send you the recordings and recap content so you can experience all the action on-demand ➡️ https://bit.ly/4aYKVqy

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How will California's push to ramp up regulations on tech companies impact our work? Will they make new start-ups cost prohibitive? Will these changes incentivize tech companies to move to more business friendly states such as Texas? It seems as if California is artificially introducing more regulatory instability that may have unforeseen and unintended consequences. What are your thoughts? https://lnkd.in/gFEDWN6z

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