Iceberg Table Format Adoption and Unified Metadata Catalog Implementation in Lakehouse Platform
Автор: Databricks
Загружено: 2025-07-07
Просмотров: 272
Описание:
DoorDash Data organization actively adopts LakeHouse paradigm.
This presentation describes the methodology
which allows to migrate the classic Data Warehouse and Data Lake platforms to unified LakeHouse solution.
The objective of this effort include
Elimination of excessive data movement.
Seamless integration and consolidation of the query engine layers, including Snowflake, Databricks, EMR and Trino.
Query performance optimization.
Abstracting away complexity of underlying storage layers and table formats
Strategic and justified decision on the Unified Metadata catalog used across varios compute platforms
Talk By: Ruotian Wang, Software Engineer, Doordash ; Sergey Zavgorodni, Lead Data Engineer, DoorDash
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