Running Apache Hudi™ on Databricks
Blog post from Onehouse
Apache Hudi, initially launched at Uber as an incremental data lake, has evolved into a key open-source data lakehouse project alongside Apache Iceberg and Delta Lake. It is utilized by Onehouse to implement the Universal Data Lakehouse architectural pattern, offering features like near real-time ingestion, incremental processing, ACID transactions, and time travel capabilities. The blog outlines how to integrate Hudi with Databricks, a cloud-based data engineering platform, to leverage Hudi's efficient data management within Databricks' robust environment. This integration allows users to benefit from Hudi's capabilities for real-time processing, simplified data ingestion, and enhanced data operations, all while utilizing Databricks' Photon engine for fast query performance. The setup process involves configuring Databricks to support Hudi tables, enabling users to conduct data management tasks effectively. The blog provides a step-by-step guide to configure Hudi within the Databricks environment, emphasizing its potential to streamline data operations and promote efficient data processing for complex data structures.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.