Explores how Dremio's platform simplifies building and managing Apache Iceberg-based data lakehouses with governance, performance, and self-service.
Explores Apache Iceberg and Project Nessie, key open-source technologies powering the flexible and vendor-neutral Open Lakehouse data architecture.
A guide to building a cost-effective, high-performance, and self-service data lakehouse architecture, addressing common pitfalls and outlining key principles.
A tutorial on building a local Data Lakehouse using Docker Compose with Apache Spark, Minio, Dremio, and Nessie.
Explains Project Nessie, an open-source data catalog for Apache Iceberg tables, and its importance for data engineers and architects building data lakehouses.
Explores catalog-level data versioning with Project Nessie and Dremio Arctic, covering branching, rollbacks, and multi-table transactions for data lakehouses.
Explains the data lakehouse concept, Dremio's role as a platform, and Apache Iceberg's function as a table format for modern data architectures.
A hands-on tutorial for setting up a Docker environment to experiment with the Apache Iceberg table format using Spark SQL.
