Lakekeeper is an Apache-Licensed implementation of the Apache Iceberg REST Catalog specification, designed for secure and efficient data management. It offers features like multi-table commits, Kubernetes integration, and customizable access management while supporting various cloud providers and on-premise deployments. The project includes a Docker container and a minimal setup guide for demonstration purposes.

Prefer using MERGE INTO over INSERT OVERWRITE in Apache Iceberg for more efficient data management, especially with evolving partitioning schemes. MERGE INTO with the Merge-on-Read strategy optimizes write performance, reduces I/O operations, and leads to significant cost savings in large-scale data environments. Implementing best practices for data modification further enhances performance and maintains storage efficiency.

The article discusses the advancements in Apache Iceberg v3 and its role in unifying the data ecosystem, emphasizing its features that enhance data management and performance. It highlights how Iceberg can improve data reliability and simplify operations for users in various industries. Additionally, it covers the integration of Iceberg with existing data tools and platforms, showcasing its potential for broader adoption.

The article discusses Salesforce's new Data Cloud, which integrates a massive lakehouse architecture featuring over 4 million tables and 50 petabytes of data. Powered by Apache Iceberg, this infrastructure aims to enhance data management and analytics capabilities for businesses.