Snowflake’s Post

Come learn why Snowflake named Dataiku AI Partner of the Year for the 3rd year in a row. See how no/low/full code users can maximize your Snowflake investment across your enterprise on May 23rd.

Hello everyone ! I have uploaded the part 8 of our Snowflake Zero to Hero series, Where I showed "How to ingest Semi Structure data". I will be creating a separate video to clean the JSON or PARQUET data Watch this video and Subscribe my YouTube channel to start your Snowflake journey. Make sure to complete this exercise at your local machine to gain more confidence. Link : https://lnkd.in/gkDa8JTi #snowflake #youtube #learning #zerotohero #fileformat #dataengineer

Needing to learn more about Snowflake Cortex's parse document functionality? The CloudEQS team put together this step-by-step guide with best practices! https://lnkd.in/ge7HjGVM

Anyone else using Snowflake #Cortex classify_text model and want to compare notes? I have some incredible use cases but the results are mediocre so I am hoping it's the operator and not the tech! If I get it working I have an article / tutorial cued up to share.

Learning is my Passion! 🌠 Excited to share my recent project, where I built an ELT Data Pipeline to transform Snowflake TPC-H sample data using dbt and orchestrated the process with Apache Airflow and Astronomer Cosmos. 🚀 📂 Project Highlights: 🔹Used dbt for transformation and Snowflake for warehousing. 🔹 Bronze Layer: Raw data ingestion. 🔹 Silver Layer: Cleaned staging tables (Orders, Line Items). 🔹 Golden Layer: Fact tables and summaries for Orders and Order Items. 🔹 Implemented macro functions to simplify pricing calculations. 🔹 Included generic and singular tests to validate data accuracy. 🔹Used Airflow for orchestration of my dbt DAGs. 🔹Prepared and used a Docker image tailored for workflows that use dbt with Snowflake in an Astronomer Airflow deployment. 📊 What’s Next? Looking to include advanced analytics using Snowpark! repo: https://lnkd.in/de5yuvzh ref: https://lnkd.in/dqaunckD Kudos to Jay Zern Ng for the great tutorial! #DataEngineering #dbt #Snowflake #Airflow #ETL #Analytics

On May 23rd, Snowflake + Dataiku are hosting a joint webinar. We'll take a deep dive into how clients are scaling machine learning projects in Dataiku with elastic, on-demand compute from Snowflake. Details are below if you wanted to take a look

When a model underperforms, it can be difficult to understand why. Understanding and explaining model behavior is typically done using Shapley values and plays a key role in ensuring quality of the model before it goes to production, and debugging the model when it underperforms in production. Snowflake ML Explainability is now in Public Preview! Senior Product Manager at Snowflake, Avinash Joshi is here to share: 1️⃣ How to use Shapley values 2️⃣ How to compute Shapley values within Snowflake 3️⃣ The benefits of using Snowflake to compute Shapley values Read the blog to learn more: https://lnkd.in/gjN7SnF4

🚀 Unlock the Power of Data with Snowflake and Copilot! 🚀 Not a data scientist? No problem! With the dynamic duo of Snowflake and Copilot, you can now write code and analyze data without any prior technical expertise. The video below explains how this powerful combination can transform your data workflows and unlock new possibilities. https://lnkd.in/dPaUbEvt

Mastering data science just got easier! Introducing the ultimate cheat sheet – your go-to resource for quick references on algorithms, statistics, and coding essentials. Boost your productivity and stay ahead in the data-driven world. #DataScience #CheatSheet

It's nice to see Snowflake Notebooks continue to be built feature-wise with the added ability for Snowflake Notebooks external access support. What does this mean? This means you can now access external APIs directly from your notebook and load data, including getting models from huggingface. Docs: https://lnkd.in/gJFNfktK Explainer video: Check out Machine Learning with Snowflake Notebooks https://lnkd.in/gDtB6xAz #snowflake #infostrux #datasuperhero #snowflake_advocate