Onehouse Custom Transformations QuickStart
Blog post from Onehouse
Onehouse offers a flexible and efficient solution for data transformations within ETL and ELT processes by providing both no-code and custom transformer options for its users. These transformations are crucial for optimizing data as it moves through the data lakehouse stack to generate insights and value. Onehouse's no-code transformations handle common needs like struct flattening and array explosion, while custom transformers allow users to implement specific business logic using Java within the Spark framework. This enables seamless integration into Onehouse stream captures, ensuring that data pipelines are both cost-effective and high-performing. Users can build, test, and upload their custom transformation code using Gradle or Maven, making them accessible for execution within the Onehouse platform. By sharing compute resources between ingestion, transformation, and optimization tasks, Onehouse ensures that operations are efficient and no resources are wasted. This approach not only facilitates the creation of tailored data pipelines but also offers significant cost savings.
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