Introduces Dremio's built-in Open Catalog for Apache Iceberg, offering a zero-configuration, production-ready lakehouse solution with automated management.
Guide on connecting AWS Glue Data Catalog to Dremio Cloud for querying and managing AWS Iceberg tables with full DML support and federation.
Guide on connecting any Apache Iceberg REST Catalog to Dremio Cloud for universal lakehouse data access and management.
Explains the distinct roles of data catalogs and semantic layers in data architecture, arguing they are complementary tools.
A technical guide on using Flink SQL to write data to Apache Iceberg tables stored on AWS S3, with metadata managed by the AWS Glue Data Catalog.
A technical guide on designing and implementing a modern data lakehouse architecture using the Apache Iceberg table format in 2025.
Explores five key trends shaping the data lakehouse architecture, including storage evolution, table formats, and catalog competition.
Explains the purpose and limitations of the Apache Iceberg REST Catalog specification for standardizing table operations.
Explores Polaris, an open-source catalog service for managing Apache Iceberg tables in data lakehouses, covering its architecture, entities, and security.
Explores Apache Iceberg's catalog system, its role in data lakehouse architecture, and key considerations for choosing the right catalog.
Explains the role, types, and selection criteria for catalogs in Apache Iceberg, a key component for managing data lakehouse tables.
An interview with Salma Bakouk, CEO of Sifflet, discussing data stack observability, data quality, lineage, and building a modern data team.
Introduces Nessie as a self-managed catalog alternative to Hive & JDBC for Apache Iceberg, addressing limitations and new features.
Explores Apache Iceberg and Project Nessie, key open-source technologies powering the flexible and vendor-neutral Open Lakehouse data architecture.
Explains Project Nessie, an open-source data catalog for Apache Iceberg tables, and its importance for data engineers and architects building data lakehouses.
An analysis of data discovery platforms, their key features, and available open-source solutions to improve data findability in organizations.
