ON-DEMAND WEBINAR
On-Demand
Iceberg for Snowflake: Implementing the fastest, most open data lakehouse for Snowflake ETL/ELT
Learn how to ingest, store and transform your Snowflake data faster and for a fraction of the cost using fully-managed Iceberg tables.
Overview
Learn how to ingest, store and transform your Snowflake data faster and for a fraction of the cost using fully-managed Iceberg tables.
The Snowflake Data Cloud is one of the most popular cloud platforms in the world But, for all its success, Snowflake is still a mostly closed ecosystem that locks data into the platform from ingestion to querying.
Users need open access to their Snowflake data to apply their preferred query engine (Databricks, Presto, etc.) to support all their use cases including AI/ML. Snowflake is gradually opening up its architecture by providing support for Apache Iceberg, an open table format that interoperates with many query engines.
Join this webinar to learn how Onehouse simplifies the adoption of Iceberg for Snowflake. Onehouse allows users to ingest their data faster, at scale, for a fraction of the cost. And Onehouse provides built-in interoperability between all the popular data lakhouse table formats including Iceberg, Hudi, and Delta Lake - so your data will play as nicely with Snowflake as it will with other processing engines such as Databricks.
Join this webinar to learn how companies are:
- Reducing merge expenses in Snowflake by up to 70% by integrating a data lakehouse.
- Achieving up-to-the-minute data freshness while reducing overall data infrastructure costs.
- Querying a single copy of data in the lakehouse with Snowflake for BI, analytics and reporting alongside query engines such as Databricks for AI/ML, Flink and Spark for data engineering use cases, and more.
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