A data loading and transformation engine for data lakehouses
Project description
Loadhouse
A powerful ETL (Extract, Transform, Load) tool designed for data lakehouse architectures with JSON-based configuration.
Overview
Loadhouse is a flexible data processing tool that simplifies ETL operations through JSON configuration. It supports various data sources and provides robust data transformation capabilities using Apache Spark.
Features
-
Configurable Data Sources
- File-based (CSV, Delta, etc.)
- JDBC connections
- SQL queries
- DataFrame operations
-
Data Transformations
- Expression filtering
- Custom transformations
- Data quality validation
-
Multiple Output Formats
- Delta Lake
- File formats (CSV, Parquet, etc.)
- Console output for debugging
-
Quality Checker
- Data quality patterns with Apache Airflow
- Unit test Spark
- Data validation with GX
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