Overview
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Explore how to maximize your lakehouse potential across all workloads from business intelligence to artificial intelligence in this 18-minute conference talk. Learn about Onehouse's open lakehouse architecture that unifies your entire data stack, enabling true interoperability across formats, catalogs, and engines. Discover the capabilities of Apache XTable (Incubating) for cross-table-format compatibility and understand how OpenEngines positions your data with the optimal engine for each specific task. Examine OneSync's functionality for maintaining data consistency across multiple platforms including Snowflake, Athena, Redshift, and BigQuery. Understand how Onehouse's purpose-built lakehouse runtime reduces ingestion and ETL costs while supporting lightning-fast data ingestion at scale and cost-efficient processing. Gain insights into building an open and powerful lakehouse solution that can deliver business intelligence, scale AI applications, and support future data initiatives through unified architecture and multi-catalog synchronization capabilities.
Syllabus
Sponsored by: Onehouse | Open By Default, Fast By Design: One Lakehouse That Scales From BI to AI
Taught by
Databricks