Hi Jan,
Apache Iceberg is an advanced table format designed for scalability and flexibility in modern data architectures. Its open design integrates with platforms like Snowflake, on-premises environments, and cloud ecosystems, enabling seamless management of large-scale datasets. Iceberg’s capabilities include:
- Schema evolution without costly migrations.
- Time travel for historical queries and rollback.
- Partitioning that eliminates the need for manual maintenance.
Dremio enhances Apache Iceberg by providing a high-performance query engine and robust integration tools. Together, they deliver:
- Optimized storage through efficient file management and reduced duplication.
- Reduced compute costs with fine-grained updates and incremental processing.
- Simplified governance with built-in version control and auditability.
Our Definitive Guide to Apache Iceberg outlines how to integrate Iceberg into your architecture and use Dremio to build a scalable, AI-ready data platform. By implementing Iceberg, you can simplify data management, support advanced analytics, and enable real-time insights that drive innovation across your business. This guide provides clear, actionable steps to modernize your data stack and unlock new opportunities for AI and data-driven strategies.
Discover how Dremio and Apache Iceberg together can unlock innovation from your data operations.
