It Depends #64: Iceberg, Delta, Hudi, Polaris, Unity & Lakehouse - Vinoth Chandar Onehouse - Jun ’24

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Sanjeev Mohan

Sanjeev Mohan

8 күн бұрын

On the occasion of Onehouse’s $35M Series B funding, I had the pleasure of discussing the intricacies of lakehouse architecture and table formats with founder and CEO, Vinoth Chandar. He created the Hudi format while at Uber and then worked at Confluent, before starting Onehouse. Our conversation delved into the origins and differences between Apache Hudi, Apache Iceberg, and Delta Lake.
The complexity behind table formats and metadata is truly remarkable. Vinoth shared insights into achieving interoperability through Databricks UniForm and @Apache XTable, developed in collaboration with Microsoft and Google. We also explored technical aspects of meta stores and catalogs, such as Snowflake’s Polaris and Databricks’ Unity Catalog.
Vinoth also offered his perspective on Tabular (now part of Databricks) and the future of lakehouse management. I believe you'll find this episode insightful and valuable.
Feel free to share your thoughts and feedback
#data #datamanagement #ai #ml #cloud #multicloud #moderndatastack #cloudnative #opensource #llm #lakehouse #apacheiceberg #apachehudi #LFDelta

Пікірлер: 1
@nandakishore5198
@nandakishore5198 6 күн бұрын
transactional layer iceberg - update is delete +insert iceberg - mark the del records , create file of new inserts hudi - mor hudi - streaming workloads liquid clustering table metadata formats hudi, delta - more writes iceberg - more read - warehouse read, write, table management read optimised write optimised hudi lakehouse data rewriting 3 tables formats table metadata formats iceberg - snapshot delta, hudi - log bassd write, read, table management hudi - built in table mgmt metadata cor ; mow cow; mor interoperability uniform read compatibility write compatibility manifest file delta log xtable and uniform foundational db in sf access control + technical metadata polaris - sf unity catalog - open source iceberg rest api catalog metastore - read and write plans data not tied to one engine data catalog being interoperable bw engines lake view - ingestion, transformation, orchestration- observability
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