Apache Hudi bridges the gap between batch and stream processing, offering a framework for incremental data processing that effectively addresses modern data architecture needs.
The incremental processing capability of Hudi empowers organizations to handle large data volumes efficiently, particularly in scenarios where timely data updates are crucial, as evidenced in use cases at Uber.
The evolution in data architecture from on-prem data warehousing to cloud-based solutions like Snowflake and Hudi exemplifies the industry's shift toward more flexible and scalable data management systems.
By implementing Hudi, users benefit from a transactional layer that enhances data lake capabilities, allowing for real-time analytics and updating, which aligns with newer data access demands.
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