How to use Apache Hudi™ with Databricks
Blog post from Onehouse
Onehouse provides organizations with a Universal Data Lakehouse model that enables flexible data management and analytics, including the ability to use Apache Hudi tables within Databricks. The blog outlines a detailed guide on setting up and configuring Apache Hudi in a Databricks environment, highlighting the ease of integrating Hudi with Databricks and the potential to mix and match table formats and query engines, thanks to tools like Apache XTable. The process involves creating compute instances, installing necessary libraries, and configuring the Databricks environment to support Hudi tables, allowing users to efficiently manage data operations. Additionally, the blog addresses how to potentially translate Hudi table metadata to Delta Lake format for use with Databricks’ Unity Catalog, although Unity Catalog currently supports only Delta Lake. This integration represents a streamlined approach to data management, offering developers the flexibility to handle data tasks with increased efficiency.
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