Amber Beebe’s Post

Your Weekly Data Deep Dive is here! 💡 What are unstructured, structured, and semi-structured data types? https://bit.ly/4ePNz3K 🏋️♂️ Using GenAI to support migrations from Redshift to Databricks: https://bit.ly/47TE2X4 🏁 Crossing the Finish Line: Executing AI Workloads Using dbt and Matillion: https://bit.ly/4dykubO Get further insights on the Matillion blog https://lnkd.in/eHcFbaqv

Fine-tune your Databricks and Snowflake infrastructure and drive significant cost savings while maintaining peak performance. Join a 30-min FinOps Metrics That Matter virtual event to better understand cost evaluation and gain deeper insights with Unravel. 🧱 Data Platform Economics: Measuring and Improving Cost-per-App in Databricks — Nov. 12 ❄️ Data Platform Economics: Measuring and Improving Cost-per-Query in Snowflake — Nov. 14 Click the link to explore these and other virtual events in the series—you can go in order or skip to what interests you most: https://lnkd.in/gN95t8qN #FinOps #DataObservability #Insights #AI #Automation #DataOps

📢 Attention Snowflake developers! There's a new kid in the Snowflake Cortex AI town - CLASSIFY_TEXT! 💡 You can use this new LLM-backed function right in your SQL queries to classify free-form text data into categories you provide. Test it and see if it works for your scenarios. ➡️ Make sure you read the docs for some guidance: https://lnkd.in/dzXsiTGn #Snowflake #SnowflakeCortexAI #LLM #GenAI #SQL

Snowflake Cortex Fine-tuning is out on Public Preview!! ** What is it? ** Snowflake Cortex Fine-Tuning function in Snowsight, which gives you a way to customize large language models for your specific task. That means you can fine-tune models through Snowsight without writing any SQL. ** How? ** Find it in this link https://lnkd.in/gWNnrKtn, and I hope post a video later #snowflake #infostrux #datasuperhero #snowflake_advocate

Getting started with fine-tuning on Databricks by Narjes Majdoub Giran Moodley Ellen Hirt (Hoeven) The article is just amazing have a look at it. 📚 What You'll Learn: - When fine-tuning is the right approach. - Step-by-step instructions for preparing your data and environment. - Best practices for running and evaluating fine-tuning experiments. - How to deploy and monitor your fine-tuned models. #Databricks #FineTuning

Snowflake launched a Copilot, an AI assistant specifically adapted to generate SQL code! It provides a seamless user experience, enabling users to generate SQL queries from text input to analyse business data. Copilot demonstrated impressive capabilities in understanding database schemas, queries, and identifying relevant tables. However, I noticed some limitations such as occasional syntax errors and challenges with handling complex multi-table joins. These issues can be addressed with refined prompts, intermediate validations, and continuous user feedback. Feel free to reach out to discuss further! #GenerativeAI #Snowflake #TextToSQL #Copilot #Productivity

🌟𝟏𝟎𝟎 𝐃𝐚𝐲𝐬 𝐨𝐟 𝐀𝐈 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 - 𝐃𝐚𝐲 𝟏𝟔-𝟐𝟎🌟 💪𝐌𝐨𝐭𝐢𝐯𝐚𝐭𝐢𝐨𝐧: Every code written is a step closer to mastering AI. 📝𝐌𝐚𝐢𝐧 𝐓𝐨𝐩𝐢𝐜: Fundamentals of Data Science 🔰𝐏𝐫𝐨 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 - 𝟏 🛍️ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 : Real-Time Data Pipeline I worked on the practical implementation of this project these days. 📚 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐅𝐨𝐥𝐥𝐨𝐰𝐞𝐝: 🎥 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥: https://lnkd.in/gM2jvAsu #100DaysOfAI #DataEngineering #Kafka #AWS #LearningJourney

Clojure's data science community has been working away on a ton of really interesting stuff over the last few years. This blog post is a summary of the current state of Machine Learning tools in the Clojure-for-data-science ecosystem. https://lnkd.in/ekQ5n7Mr #Clojure #ClojureData #ClojureML #SciCloj #ClojureForDataScience

Data Engineers ! This one's for you: 🧠 The Economics of Generative AI Stephanie Kirmer 🧠 Connecting ML Models in Sagemaker to Snowflake and dbt Hugo Lu 🧠 Introduction to Interpretable Clustering NAKUL UPADHYAY 🧠 Snowflake automatic clustering cost estimation Tim Sander 🧠 Death to Tech Debt? Ari Joury, PhD Check it here; https://lnkd.in/ebdFKNZ5 #dataengineering #dataroundup #startup

Did you know that efficiently leveraging machine learning can significantly enhance data-driven decision-making processes? Our latest article explores how Snowflake Cortex ML-based functions are opening new avenues for developers to harness the power of machine learning directly within the Snowflake environment. The piece unfolds the critical steps of getting started with these functions, providing insight into their setup and practical applications. This guidance aims to empower both newcomers and seasoned developers to integrate ML capabilities seamlessly. Understanding how to apply these advanced features not only boosts productivity but also fosters a collaborative learning atmosphere within the developer community. By sharing knowledge and insights, we can collectively advance our skills and drive innovation in our projects. What are your thoughts on implementing machine learning in your data workflows? Share your experiences and let's elevate our community's expertise together. #MachineLearning #DataScience #Snowflake #CloudComputing #DeveloperCommunity https://lnkd.in/gXpuvhPM