How-to Guides
This folder includes important Feathr how-to guides and will help hands-on customers with detailed step-by-step guide.
Table of contents
- Advanced Usages for Feathr
- Azure Resource Provisioning through Azure CLI
- Azure Resource Provisioning through Azure Resource Manager
- Configuration, environment variables, and store secrets in a secure way
- Developing Customized Feathr Spark UDF
- Feathr Job Configuration during Run Time
- Feathr Local Feature Testing Guide
- Feathr Online Transformation
- Feature Definition Troubleshooting Guide
- Input File for Feathr
- Local Spark Provider Usage
- Manage library for Azure Spark Compute (Azure Databricks and Azure Synapse)
- Online Model Inference with Features from Feathr
- Passing Through Credentials in Feathr
- Storing secrets in Azure Key Vault
- Streaming Source Ingestion and Feature Definition
- Updating Feathr Registry and Feathr Client
- Using Feathr in Azure Machine Learning
- Using Feathr with MLOps v2
- Using `SparkSQLSource` as Data Source