Explores the commercial Apache Iceberg catalog ecosystem, focusing on REST Catalog standards, optimization strategies, and architectural trade-offs.
Explores two paths for building a universal lakehouse catalog that extends beyond Apache Iceberg tables to manage diverse data formats and sources.
Overview of key proposals in Apache Iceberg v4, focusing on performance, metadata efficiency, and portability for modern data workloads.
Explores Apache Iceberg, Arrow, and Polaris—three key technologies powering modern, high-performance data lakehouse platforms.
A comprehensive 2025 guide to Apache Iceberg, covering its architecture, ecosystem, and practical use for data lakehouse management.
A look at 10 upcoming features and enhancements for the Apache Iceberg data lakehouse table format, expected in 2025.
Explains how to implement access control and security for Apache Iceberg tables at the file, engine, and catalog levels.
A comprehensive directory of Apache Iceberg resources, including tutorials, guides, and educational materials for data engineers and developers.
Explains the role and structure of Apache Iceberg manifest files, key metadata components for tracking data files and optimizing queries in data lakehouses.
Explains the critical role and structure of the metadata.json file in Apache Iceberg, the open-source table format for data lakehouses.
Explains how Apache Iceberg's design ensures data reliability, atomic operations, and serializable isolation for large-scale data lakehouses.
A list of upcoming tech talks and events by Alex Merced, focusing on Apache Iceberg, data lakehouses, and data engineering topics.
Explains the data lakehouse architecture, its layers (storage, table format, catalog, processing), and its advantages over traditional data warehouses.
Explains three key Apache Iceberg features for data engineers: hidden partitioning, partition evolution, and tool compatibility.
An introduction to Apache Iceberg, a table format for data lakehouses, explaining its architecture and providing learning resources.
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.
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.
