McKenna FarrarHow Snowflake’s Connector for Google Analytics Centralizes Marketing DataAuthor: Ayonika Bose, Analytics Engineer, Sigma Computing7h ago7h ago
Maja FerleSnowflake ML Functions with Real-World Time Series DataIn my previous posts about Forecasting and Anomaly Detection with Snowflake ML Functions, I used clean data as my input data sets. In this…1d ago1d ago
CordialBidirectional Data Integration between Cordial and Snowflake for Real-Time Customer DataLearn how Cordial seamlessly connects to Snowflake as your established data warehouse to unify your data and unlock its full potential2d ago2d ago
Sudhir TekavadeBuilding Data Monitoring & Observability Apps Using SnowflakeThis post was written in collaboration with Abhay Singh3d ago3d ago
Adam DuvalFrom Zero to Value: Unlocking Rapid Insights With an End to End ML Workflow in SnowflakeAn entire machine learning workflow in Snowflake ML: EDA, data engineering, feature engineering, model development, MLOPS, model delivery.4d ago4d ago
Gaurav SingodiaCloud Costs at Scale the Snowflake wayToday, I’m delighted to introduce a very effective cloud cost management strategy to help you maximize the value of your cloud investments…4d ago4d ago
Eylon SteinerOptimizing Snowflake: Best Practices for Ongoing Operations and ManagementIn this post, we’ll cover key practices for configuring and managing a Snowflake account, with examples demonstrating how to set up virtual…5d ago5d ago
Shriya RaiML SIDEKICK — Your ML Assistant in SnowflakeSimplify your machine learning pipeline with Streamlit in Snowflake application6d ago6d ago
Carston HernkeBuilding interactive map dashboards with Snowflake and HoneycombIdentify clusters of failed package deliveries using Snowflake’s Native H3 functions and the Honeycomb Data…6d ago6d ago
Avinash JoshiSnowflake ML Explainability: now in Public PreviewWhen a machine learning (ML) model makes a prediction, data scientists typically find it difficult to explain the outcome as often an ML…6d ago16d ago1